diff --git a/.github/workflows/license_check.yml b/.github/workflows/license_check.yml
index 9408a3a046..a501a6807e 100644
--- a/.github/workflows/license_check.yml
+++ b/.github/workflows/license_check.yml
@@ -24,5 +24,5 @@ jobs:
   rat:
     runs-on: ubuntu-22.04
     steps:
-    - uses: actions/checkout@v4
+    - uses: actions/checkout@v5
     - run: dev/check-license
diff --git a/.github/workflows/nightly-pypi-build.yml b/.github/workflows/nightly-pypi-build.yml
index e7a32a3d0a..9bb0894159 100644
--- a/.github/workflows/nightly-pypi-build.yml
+++ b/.github/workflows/nightly-pypi-build.yml
@@ -31,7 +31,7 @@ jobs:
     outputs:
       VERSION: ${{ steps.set-version.outputs.VERSION }}
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
         with:
           fetch-depth: 1
 
@@ -71,7 +71,7 @@ jobs:
 
     steps:
     - name: Download all the artifacts
-      uses: actions/download-artifact@v4
+      uses: actions/download-artifact@v5
       with:
         merge-multiple: true
         path: dist/
diff --git a/.github/workflows/pypi-build-artifacts.yml b/.github/workflows/pypi-build-artifacts.yml
index b8c9384ef3..a6e9769bbf 100644
--- a/.github/workflows/pypi-build-artifacts.yml
+++ b/.github/workflows/pypi-build-artifacts.yml
@@ -35,7 +35,7 @@ jobs:
         os: [ ubuntu-22.04, windows-2022, macos-13, macos-14 ]
 
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
         with:
           fetch-depth: 1
 
@@ -62,7 +62,7 @@ jobs:
         if: startsWith(matrix.os, 'ubuntu')
 
       - name: Build wheels
-        uses: pypa/cibuildwheel@v3.0.1
+        uses: pypa/cibuildwheel@v3.1.3
         with:
           output-dir: wheelhouse
           config-file: "pyproject.toml"
diff --git a/.github/workflows/python-ci-docs.yml b/.github/workflows/python-ci-docs.yml
index d6e14c8400..c9cb7f05af 100644
--- a/.github/workflows/python-ci-docs.yml
+++ b/.github/workflows/python-ci-docs.yml
@@ -35,7 +35,7 @@ jobs:
     runs-on: ubuntu-22.04
 
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
       - name: Install poetry
         run: make install-poetry
       - uses: actions/setup-python@v5
diff --git a/.github/workflows/python-ci.yml b/.github/workflows/python-ci.yml
index c8cdbcc58a..63559c35d4 100644
--- a/.github/workflows/python-ci.yml
+++ b/.github/workflows/python-ci.yml
@@ -50,14 +50,12 @@ jobs:
         python: ['3.9', '3.10', '3.11', '3.12']
 
     steps:
-    - uses: actions/checkout@v4
+    - uses: actions/checkout@v5
     - name: Install poetry
       run: make install-poetry
     - uses: actions/setup-python@v5
       with:
         python-version: ${{ matrix.python }}
-        cache: poetry
-        cache-dependency-path: ./poetry.lock
     - name: Install system dependencies
       run: sudo apt-get update && sudo apt-get install -y libkrb5-dev # for kerberos
     - name: Install
@@ -76,7 +74,7 @@ jobs:
         python: ['3.9', '3.10', '3.11', '3.12']
 
     steps:
-    - uses: actions/checkout@v4
+    - uses: actions/checkout@v5
     - name: Install system dependencies
       run: sudo apt-get update && sudo apt-get install -y libkrb5-dev # for kerberos
     - name: Install
diff --git a/.github/workflows/python-release-docs.yml b/.github/workflows/python-release-docs.yml
index 2823563fe5..7a3a163de6 100644
--- a/.github/workflows/python-release-docs.yml
+++ b/.github/workflows/python-release-docs.yml
@@ -30,7 +30,7 @@ jobs:
     runs-on: ubuntu-22.04
 
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
       - name: Install poetry
         run: make install-poetry
       - uses: actions/setup-python@v5
diff --git a/.github/workflows/python-release.yml b/.github/workflows/python-release.yml
index a6175ead9e..a4f04b446b 100644
--- a/.github/workflows/python-release.yml
+++ b/.github/workflows/python-release.yml
@@ -89,7 +89,7 @@ jobs:
     needs:
       - validate-inputs
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
         with:
           fetch-depth: 1
 
diff --git a/.github/workflows/svn-build-artifacts.yml b/.github/workflows/svn-build-artifacts.yml
index f222411e4d..463dfcbfec 100644
--- a/.github/workflows/svn-build-artifacts.yml
+++ b/.github/workflows/svn-build-artifacts.yml
@@ -35,7 +35,7 @@ jobs:
         os: [ ubuntu-22.04, windows-2022, macos-13, macos-14 ]
 
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
         with:
           fetch-depth: 1
 
@@ -57,7 +57,7 @@ jobs:
         if: startsWith(matrix.os, 'ubuntu')
 
       - name: Build wheels
-        uses: pypa/cibuildwheel@v3.0.1
+        uses: pypa/cibuildwheel@v3.1.3
         with:
           output-dir: wheelhouse
           config-file: "pyproject.toml"
diff --git a/Makefile b/Makefile
index 859d8dfa23..6bc55e94aa 100644
--- a/Makefile
+++ b/Makefile
@@ -28,7 +28,7 @@ else
   TEST_RUNNER = poetry run
 endif
 
-POETRY_VERSION = 2.1.1
+POETRY_VERSION = 2.1.4
 
 # ============
 # Help Section
diff --git a/mkdocs/docs/api.md b/mkdocs/docs/api.md
index 1791b112da..070a6d08e4 100644
--- a/mkdocs/docs/api.md
+++ b/mkdocs/docs/api.md
@@ -1287,6 +1287,50 @@ with table.manage_snapshots() as ms:
     ms.create_branch(snapshot_id1, "Branch_A").create_tag(snapshot_id2, "tag789")
 ```
 
+## Table Maintenance
+
+PyIceberg provides table maintenance operations through the `table.maintenance` API. This provides a clean interface for performing maintenance tasks like snapshot expiration.
+
+### Snapshot Expiration
+
+Expire old snapshots to clean up table metadata and reduce storage costs:
+
+```python
+# Expire snapshots older than three days
+from datetime import datetime, timedelta
+table.maintenance.expire_snapshots().older_than(
+    datetime.now() - timedelta(days=3)
+).commit()
+
+# Expire a specific snapshot by ID
+table.maintenance.expire_snapshots().by_id(12345).commit()
+
+# Context manager usage (recommended for multiple operations)
+with table.maintenance.expire_snapshots() as expire:
+    expire.by_id(12345)
+    expire.by_id(67890)
+    # Automatically commits when exiting the context
+```
+
+#### Real-world Example
+
+```python
+def cleanup_old_snapshots(table_name: str, snapshot_ids: list[int]):
+    """Remove specific snapshots from a table."""
+    catalog = load_catalog("production")
+    table = catalog.load_table(table_name)
+
+    # Use context manager for safe transaction handling
+    with table.maintenance.expire_snapshots() as expire:
+        for snapshot_id in snapshot_ids:
+            expire.by_id(snapshot_id)
+
+    print(f"Expired {len(snapshot_ids)} snapshots from {table_name}")
+
+# Usage
+cleanup_old_snapshots("analytics.user_events", [12345, 67890, 11111])
+```
+
 ## Views
 
 PyIceberg supports view operations.
diff --git a/mkdocs/docs/configuration.md b/mkdocs/docs/configuration.md
index 1c9e327fd7..40cfc0b8c9 100644
--- a/mkdocs/docs/configuration.md
+++ b/mkdocs/docs/configuration.md
@@ -389,6 +389,7 @@ The RESTCatalog supports pluggable authentication via the `auth` configuration b
 - `noop`: No authentication (no Authorization header sent).
 - `basic`: HTTP Basic authentication.
 - `custom`: Custom authentication manager (requires `auth.impl`).
+- `google`: Google Authentication support
 
 ###### Configuration Properties
 
@@ -414,6 +415,7 @@ catalog:
 | `auth.impl`      | Conditionally | The fully qualified class path for a custom AuthManager. Required if `auth.type` is `custom`. |
 | `auth.basic`     | If type is `basic` | Block containing `username` and `password` for HTTP Basic authentication.           |
 | `auth.custom`    | If type is `custom` | Block containing configuration for the custom AuthManager.                          |
+| `auth.google`    | If type is `google` | Block containing `credentials_path` to a service account file (if using). Will default to using Application Default Credentials. |
 
 ###### Examples
 
diff --git a/poetry.lock b/poetry.lock
index 243992b20a..977a8e5ad5 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -27,29 +27,29 @@ tests = ["arrow", "dask[dataframe]", "docker", "pytest", "pytest-mock"]
 
 [[package]]
 name = "aiobotocore"
-version = "2.23.2"
+version = "2.24.0"
 description = "Async client for aws services using botocore and aiohttp"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"s3fs\""
 files = [
-    {file = "aiobotocore-2.23.2-py3-none-any.whl", hash = "sha256:5ca24feb49be73bd6cd92e82e95aefb0647c07bb85ca57000a0361b9554503d8"},
-    {file = "aiobotocore-2.23.2.tar.gz", hash = "sha256:9c2cbd6e813bb6c60b7f20fc11897976a583c57b0093a87bebfe80a9b08746b2"},
+    {file = "aiobotocore-2.24.0-py3-none-any.whl", hash = "sha256:72bb1f8eb1b962779a95e1bcc9cf35bc33196ad763b622a40ae7fa9d2e95c87c"},
+    {file = "aiobotocore-2.24.0.tar.gz", hash = "sha256:b32c0c45d38c22a18ce395a0b5448606c5260603296a152895b5bdb40ab3139d"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.9.2,<4.0.0"
 aioitertools = ">=0.5.1,<1.0.0"
-botocore = ">=1.39.7,<1.39.9"
+botocore = ">=1.39.9,<1.39.12"
 jmespath = ">=0.7.1,<2.0.0"
 multidict = ">=6.0.0,<7.0.0"
 python-dateutil = ">=2.1,<3.0.0"
 wrapt = ">=1.10.10,<2.0.0"
 
 [package.extras]
-awscli = ["awscli (>=1.41.7,<1.41.9)"]
-boto3 = ["boto3 (>=1.39.7,<1.39.9)"]
+awscli = ["awscli (>=1.41.9,<1.41.12)"]
+boto3 = ["boto3 (>=1.39.9,<1.39.12)"]
 httpx = ["httpx (>=0.25.1,<0.29)"]
 
 [[package]]
@@ -59,7 +59,7 @@ description = "Happy Eyeballs for asyncio"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "extra == \"s3fs\" or extra == \"adlfs\" or extra == \"gcsfs\""
+markers = "extra == \"adlfs\" or extra == \"gcsfs\" or extra == \"s3fs\""
 files = [
     {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"},
     {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"},
@@ -67,99 +67,99 @@ files = [
 
 [[package]]
 name = "aiohttp"
-version = "3.12.15"
+version = "3.12.14"
 description = "Async http client/server framework (asyncio)"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "extra == \"s3fs\" or extra == \"adlfs\" or extra == \"gcsfs\""
-files = [
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 ]
 
 [package.dependencies]
@@ -202,7 +202,7 @@ description = "aiosignal: a list of registered asynchronous callbacks"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "python_version == \"3.9\" and extra == \"ray\" or (extra == \"s3fs\" or extra == \"adlfs\" or extra == \"gcsfs\") and python_version < \"3.10\" or python_version >= \"3.10\" and (extra == \"ray\" or extra == \"s3fs\" or extra == \"adlfs\" or extra == \"gcsfs\")"
+markers = "(extra == \"adlfs\" or extra == \"gcsfs\" or extra == \"s3fs\") and (extra == \"adlfs\" or extra == \"gcsfs\" or extra == \"s3fs\" or extra == \"ray\")"
 files = [
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     {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"},
@@ -219,25 +219,11 @@ description = "A light, configurable Sphinx theme"
 optional = false
 python-versions = ">=3.9"
 groups = ["dev"]
-markers = "python_version < \"3.10\""
 files = [
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 ]
 
-[[package]]
-name = "alabaster"
-version = "1.0.0"
-description = "A light, configurable Sphinx theme"
-optional = false
-python-versions = ">=3.10"
-groups = ["dev"]
-markers = "python_version >= \"3.10\""
-files = [
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-]
-
 [[package]]
 name = "annotated-types"
 version = "0.7.0"
@@ -269,7 +255,7 @@ description = "Timeout context manager for asyncio programs"
 optional = true
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "(extra == \"s3fs\" or extra == \"adlfs\" or extra == \"gcsfs\") and python_version <= \"3.10\""
+markers = "(extra == \"adlfs\" or extra == \"gcsfs\" or extra == \"s3fs\") and python_version <= \"3.10\""
 files = [
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@@ -286,7 +272,7 @@ files = [
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 ]
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+markers = {main = "(extra == \"adlfs\" or extra == \"gcsfs\" or extra == \"s3fs\") and (extra == \"adlfs\" or extra == \"gcsfs\" or extra == \"s3fs\" or extra == \"ray\")"}
 
 [package.extras]
 benchmark = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
@@ -375,15 +361,15 @@ requests = ">=2.20.0"
 
 [[package]]
 name = "azure-identity"
-version = "1.23.1"
+version = "1.23.0"
 description = "Microsoft Azure Identity Library for Python"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"adlfs\""
 files = [
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+    {file = "azure_identity-1.23.0.tar.gz", hash = "sha256:d9cdcad39adb49d4bb2953a217f62aec1f65bbb3c63c9076da2be2a47e53dde4"},
 ]
 
 [package.dependencies]
@@ -395,15 +381,15 @@ typing-extensions = ">=4.0.0"
 
 [[package]]
 name = "azure-storage-blob"
-version = "12.26.0"
+version = "12.25.1"
 description = "Microsoft Azure Blob Storage Client Library for Python"
 optional = true
 python-versions = ">=3.8"
 groups = ["main"]
 markers = "extra == \"adlfs\""
 files = [
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+    {file = "azure_storage_blob-12.25.1.tar.gz", hash = "sha256:4f294ddc9bc47909ac66b8934bd26b50d2000278b10ad82cc109764fdc6e0e3b"},
 ]
 
 [package.dependencies]
@@ -481,33 +467,33 @@ files = [
 
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-version = "2025.7.5"
+version = "2025.8.1"
 description = "High-Performance Python Compute Engine for Data and AI"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"bodo\""
 files = [
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 ]
 
 [package.dependencies]
@@ -527,6 +513,7 @@ hdf5 = ["h5py"]
 huggingface-hub = ["huggingface_hub"]
 iceberg = ["pyiceberg[glue] (>=0.9)"]
 mysql = ["PyMySQL", "sqlalchemy"]
+openai = ["openai"]
 oracle = ["cx-Oracle", "libaio", "sqlalchemy"]
 plot = ["matplotlib"]
 postgres = ["psycopg2", "sqlalchemy"]
@@ -536,19 +523,19 @@ snowflake = ["snowflake-connector-python"]
 
 [[package]]
 name = "boto3"
-version = "1.39.8"
+version = "1.39.11"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "dev"]
 files = [
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 ]
-markers = {main = "extra == \"glue\" or extra == \"dynamodb\" or extra == \"rest-sigv4\""}
+markers = {main = "extra == \"dynamodb\" or extra == \"glue\" or extra == \"rest-sigv4\""}
 
 [package.dependencies]
-botocore = ">=1.39.8,<1.40.0"
+botocore = ">=1.39.11,<1.40.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.13.0,<0.14.0"
 
@@ -557,16 +544,16 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.39.8"
+version = "1.39.11"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "dev"]
 files = [
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 ]
-markers = {main = "extra == \"glue\" or extra == \"dynamodb\" or extra == \"rest-sigv4\" or extra == \"s3fs\""}
+markers = {main = "extra == \"dynamodb\" or extra == \"glue\" or extra == \"rest-sigv4\" or extra == \"s3fs\""}
 
 [package.dependencies]
 jmespath = ">=0.7.1,<2.0.0"
@@ -859,7 +846,6 @@ description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "dev", "docs"]
-markers = "python_version < \"3.10\""
 files = [
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@@ -868,22 +854,6 @@ files = [
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
-[[package]]
-name = "click"
-version = "8.2.1"
-description = "Composable command line interface toolkit"
-optional = false
-python-versions = ">=3.10"
-groups = ["main", "dev", "docs"]
-markers = "python_version >= \"3.10\""
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-
-[package.dependencies]
-colorama = {version = "*", markers = "platform_system == \"Windows\""}
-
 [[package]]
 name = "cloudpickle"
 version = "3.1.1"
@@ -912,100 +882,100 @@ markers = {main = "platform_system == \"Windows\"", dev = "platform_system == \"
 
 [[package]]
 name = "coverage"
-version = "7.10.1"
+version = "7.10.3"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["dev"]
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 ]
 
 [package.dependencies]
@@ -1016,150 +986,120 @@ toml = ["tomli ; python_full_version <= \"3.11.0a6\""]
 
 [[package]]
 name = "cramjam"
-version = "2.11.0"
+version = "2.10.0"
 description = "Thin Python bindings to de/compression algorithms in Rust"
 optional = true
 python-versions = ">=3.8"
 groups = ["main"]
 markers = "extra == \"snappy\""
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 ]
 
 [package.extras]
-dev = ["black (==22.3.0)", "hypothesis (==6.60.0)", "numpy", "pytest (>=5.30)", "pytest-benchmark", "pytest-xdist"]
+dev = ["black (==22.3.0)", "hypothesis (<6.123.0)", "numpy", "pytest (>=5.30)", "pytest-benchmark", "pytest-xdist"]
 
 [[package]]
 name = "cryptography"
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 python-versions = ">=3.9"
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 markers = "extra == \"daft\""
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 [package.dependencies]
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 [package.dependencies]
@@ -1396,18 +1336,18 @@ click = ">=8.0.0,<9"
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 packaging = ">=23.2"
 requirements-parser = ">=0.11.0,<1"
-tomli = {version = ">=2.0.1", markers = "python_version < \"3.11\""}
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 [[package]]
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-version = "0.4.0"
+version = "0.3.9"
 description = "Distribution utilities"
 optional = false
 python-versions = "*"
 groups = ["dev"]
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 [[package]]
@@ -1435,14 +1375,14 @@ websockets = ["websocket-client (>=1.3.0)"]
 
 [[package]]
 name = "docutils"
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 description = "Docutils -- Python Documentation Utilities"
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 python-versions = ">=3.9"
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 files = [
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 ]
 
 [[package]]
@@ -1533,48 +1473,48 @@ test = ["pytest (>=6)"]
 
 [[package]]
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 optional = false
 python-versions = ">=3.9"
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+    {file = "fastavro-1.12.0.tar.gz", hash = "sha256:a67a87be149825d74006b57e52be068dfa24f3bfc6382543ec92cd72327fe152"},
 ]
 
 [package.extras]
@@ -1594,7 +1534,7 @@ files = [
     {file = "filelock-3.18.0-py3-none-any.whl", hash = "sha256:c401f4f8377c4464e6db25fff06205fd89bdd83b65eb0488ed1b160f780e21de"},
     {file = "filelock-3.18.0.tar.gz", hash = "sha256:adbc88eabb99d2fec8c9c1b229b171f18afa655400173ddc653d5d01501fb9f2"},
 ]
-markers = {main = "python_version == \"3.9\" and (extra == \"ray\" or extra == \"hf\") or extra == \"hf\" or extra == \"ray\""}
+markers = {main = "extra == \"ray\" or extra == \"hf\""}
 
 [package.extras]
 docs = ["furo (>=2024.8.6)", "sphinx (>=8.1.3)", "sphinx-autodoc-typehints (>=3)"]
@@ -1649,7 +1589,7 @@ description = "A list-like structure which implements collections.abc.MutableSeq
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "python_version == \"3.9\" and extra == \"ray\" or (extra == \"s3fs\" or extra == \"adlfs\" or extra == \"gcsfs\") and python_version < \"3.10\" or python_version >= \"3.10\" and (extra == \"ray\" or extra == \"s3fs\" or extra == \"adlfs\" or extra == \"gcsfs\")"
+markers = "(extra == \"adlfs\" or extra == \"gcsfs\" or extra == \"s3fs\") and (extra == \"adlfs\" or extra == \"gcsfs\" or extra == \"s3fs\" or extra == \"ray\")"
 files = [
     {file = "frozenlist-1.7.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:cc4df77d638aa2ed703b878dd093725b72a824c3c546c076e8fdf276f78ee84a"},
     {file = "frozenlist-1.7.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:716a9973a2cc963160394f701964fe25012600f3d311f60c790400b00e568b61"},
@@ -1759,14 +1699,14 @@ files = [
 
 [[package]]
 name = "fsspec"
-version = "2025.7.0"
+version = "2025.5.1"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "fsspec-2025.7.0-py3-none-any.whl", hash = "sha256:8b012e39f63c7d5f10474de957f3ab793b47b45ae7d39f2fb735f8bbe25c0e21"},
-    {file = "fsspec-2025.7.0.tar.gz", hash = "sha256:786120687ffa54b8283d942929540d8bc5ccfa820deb555a2b5d0ed2b737bf58"},
+    {file = "fsspec-2025.5.1-py3-none-any.whl", hash = "sha256:24d3a2e663d5fc735ab256263c4075f374a174c3410c0b25e5bd1970bceaa462"},
+    {file = "fsspec-2025.5.1.tar.gz", hash = "sha256:2e55e47a540b91843b755e83ded97c6e897fa0942b11490113f09e9c443c2475"},
 ]
 
 [package.extras]
@@ -1774,7 +1714,7 @@ abfs = ["adlfs"]
 adl = ["adlfs"]
 arrow = ["pyarrow (>=1)"]
 dask = ["dask", "distributed"]
-dev = ["pre-commit", "ruff (>=0.5)"]
+dev = ["pre-commit", "ruff"]
 doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
 dropbox = ["dropbox", "dropboxdrivefs", "requests"]
 full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
@@ -1794,26 +1734,26 @@ smb = ["smbprotocol"]
 ssh = ["paramiko"]
 test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
 test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
-test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard ; python_version < \"3.14\""]
+test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
 tqdm = ["tqdm"]
 
 [[package]]
 name = "gcsfs"
-version = "2025.7.0"
+version = "2025.5.1"
 description = "Convenient Filesystem interface over GCS"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"gcsfs\""
 files = [
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-    {file = "gcsfs-2025.7.0.tar.gz", hash = "sha256:ad3ff66cf189ae8fc375ac8a2af409003dbca02357621cb94a66e457e02ba420"},
+    {file = "gcsfs-2025.5.1-py2.py3-none-any.whl", hash = "sha256:48712471ff71ac83d3e2152ba4dc232874698466e344d5e700feba06b0a0de7b"},
+    {file = "gcsfs-2025.5.1.tar.gz", hash = "sha256:ba945530cf4857cd9d599ccb3ae729c65c39088880b11c4df1fecac30df5f3e3"},
 ]
 
 [package.dependencies]
 aiohttp = "<4.0.0a0 || >4.0.0a0,<4.0.0a1 || >4.0.0a1"
 decorator = ">4.1.2"
-fsspec = "2025.7.0"
+fsspec = "2025.5.1"
 google-auth = ">=1.2"
 google-auth-oauthlib = "*"
 google-cloud-storage = "*"
@@ -1877,7 +1817,7 @@ description = "Google Authentication Library"
 optional = true
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "extra == \"gcsfs\""
+markers = "extra == \"gcsfs\" or extra == \"gcp-auth\""
 files = [
     {file = "google_auth-2.40.3-py2.py3-none-any.whl", hash = "sha256:1370d4593e86213563547f97a92752fc658456fe4514c809544f330fed45a7ca"},
     {file = "google_auth-2.40.3.tar.gz", hash = "sha256:500c3a29adedeb36ea9cf24b8d10858e152f2412e3ca37829b3fa18e33d63b77"},
@@ -2136,14 +2076,14 @@ test = ["objgraph", "psutil"]
 
 [[package]]
 name = "griffe"
-version = "1.7.3"
+version = "1.11.1"
 description = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API."
 optional = false
 python-versions = ">=3.9"
 groups = ["docs"]
 files = [
-    {file = "griffe-1.7.3-py3-none-any.whl", hash = "sha256:c6b3ee30c2f0f17f30bcdef5068d6ab7a2a4f1b8bf1a3e74b56fffd21e1c5f75"},
-    {file = "griffe-1.7.3.tar.gz", hash = "sha256:52ee893c6a3a968b639ace8015bec9d36594961e156e23315c8e8e51401fa50b"},
+    {file = "griffe-1.11.1-py3-none-any.whl", hash = "sha256:5799cf7c513e4b928cfc6107ee6c4bc4a92e001f07022d97fd8dee2f612b6064"},
+    {file = "griffe-1.11.1.tar.gz", hash = "sha256:d54ffad1ec4da9658901eb5521e9cddcdb7a496604f67d8ae71077f03f549b7e"},
 ]
 
 [package.dependencies]
@@ -2173,15 +2113,15 @@ tests = ["pytest"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.34.3"
+version = "0.34.4"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = true
 python-versions = ">=3.8.0"
 groups = ["main"]
 markers = "extra == \"hf\""
 files = [
-    {file = "huggingface_hub-0.34.3-py3-none-any.whl", hash = "sha256:5444550099e2d86e68b2898b09e85878fbd788fc2957b506c6a79ce060e39492"},
-    {file = "huggingface_hub-0.34.3.tar.gz", hash = "sha256:d58130fd5aa7408480681475491c0abd7e835442082fbc3ef4d45b6c39f83853"},
+    {file = "huggingface_hub-0.34.4-py3-none-any.whl", hash = "sha256:9b365d781739c93ff90c359844221beef048403f1bc1f1c123c191257c3c890a"},
+    {file = "huggingface_hub-0.34.4.tar.gz", hash = "sha256:a4228daa6fb001be3f4f4bdaf9a0db00e1739235702848df00885c9b5742c85c"},
 ]
 
 [package.dependencies]
@@ -2398,7 +2338,7 @@ files = [
     {file = "jmespath-1.0.1-py3-none-any.whl", hash = "sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980"},
     {file = "jmespath-1.0.1.tar.gz", hash = "sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe"},
 ]
-markers = {main = "extra == \"glue\" or extra == \"dynamodb\" or extra == \"rest-sigv4\" or extra == \"s3fs\""}
+markers = {main = "extra == \"dynamodb\" or extra == \"glue\" or extra == \"rest-sigv4\" or extra == \"s3fs\""}
 
 [[package]]
 name = "joserfc"
@@ -2463,14 +2403,14 @@ files = [
 
 [[package]]
 name = "jsonschema"
-version = "4.25.0"
+version = "4.24.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "dev"]
 files = [
-    {file = "jsonschema-4.25.0-py3-none-any.whl", hash = "sha256:24c2e8da302de79c8b9382fee3e76b355e44d2a4364bb207159ce10b517bd716"},
-    {file = "jsonschema-4.25.0.tar.gz", hash = "sha256:e63acf5c11762c0e6672ffb61482bdf57f0876684d8d249c0fe2d730d48bc55f"},
+    {file = "jsonschema-4.24.0-py3-none-any.whl", hash = "sha256:a462455f19f5faf404a7902952b6f0e3ce868f3ee09a359b05eca6673bd8412d"},
+    {file = "jsonschema-4.24.0.tar.gz", hash = "sha256:0b4e8069eb12aedfa881333004bccaec24ecef5a8a6a4b6df142b2cc9599d196"},
 ]
 markers = {main = "extra == \"ray\""}
 
@@ -2482,7 +2422,7 @@ rpds-py = ">=0.7.1"
 
 [package.extras]
 format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"]
-format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "rfc3987-syntax (>=1.1.0)", "uri-template", "webcolors (>=24.6.0)"]
+format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=24.6.0)"]
 
 [[package]]
 name = "jsonschema-path"
@@ -2859,14 +2799,14 @@ mkdocs = ">=1.4.1"
 
 [[package]]
 name = "mkdocs-material"
-version = "9.6.15"
+version = "9.6.16"
 description = "Documentation that simply works"
 optional = false
 python-versions = ">=3.8"
 groups = ["docs"]
 files = [
-    {file = "mkdocs_material-9.6.15-py3-none-any.whl", hash = "sha256:ac969c94d4fe5eb7c924b6d2f43d7db41159ea91553d18a9afc4780c34f2717a"},
-    {file = "mkdocs_material-9.6.15.tar.gz", hash = "sha256:64adf8fa8dba1a17905b6aee1894a5aafd966d4aeb44a11088519b0f5ca4f1b5"},
+    {file = "mkdocs_material-9.6.16-py3-none-any.whl", hash = "sha256:8d1a1282b892fe1fdf77bfeb08c485ba3909dd743c9ba69a19a40f637c6ec18c"},
+    {file = "mkdocs_material-9.6.16.tar.gz", hash = "sha256:d07011df4a5c02ee0877496d9f1bfc986cfb93d964799b032dd99fe34c0e9d19"},
 ]
 
 [package.dependencies]
@@ -2916,14 +2856,14 @@ mkdocs = ">=1.2"
 
 [[package]]
 name = "mkdocstrings"
-version = "0.29.1"
+version = "0.30.0"
 description = "Automatic documentation from sources, for MkDocs."
 optional = false
 python-versions = ">=3.9"
 groups = ["docs"]
 files = [
-    {file = "mkdocstrings-0.29.1-py3-none-any.whl", hash = "sha256:37a9736134934eea89cbd055a513d40a020d87dfcae9e3052c2a6b8cd4af09b6"},
-    {file = "mkdocstrings-0.29.1.tar.gz", hash = "sha256:8722f8f8c5cd75da56671e0a0c1bbed1df9946c0cef74794d6141b34011abd42"},
+    {file = "mkdocstrings-0.30.0-py3-none-any.whl", hash = "sha256:ae9e4a0d8c1789697ac776f2e034e2ddd71054ae1cf2c2bb1433ccfd07c226f2"},
+    {file = "mkdocstrings-0.30.0.tar.gz", hash = "sha256:5d8019b9c31ddacd780b6784ffcdd6f21c408f34c0bd1103b5351d609d5b4444"},
 ]
 
 [package.dependencies]
@@ -3099,14 +3039,14 @@ type = ["mypy (==1.17.0)"]
 
 [[package]]
 name = "moto"
-version = "5.1.9"
+version = "5.1.10"
 description = "A library that allows you to easily mock out tests based on AWS infrastructure"
 optional = false
 python-versions = ">=3.9"
 groups = ["dev"]
 files = [
-    {file = "moto-5.1.9-py3-none-any.whl", hash = "sha256:e9ba7e4764a6088ccc34e3cc846ae719861ca202409fa865573de40a3e805b9b"},
-    {file = "moto-5.1.9.tar.gz", hash = "sha256:0c4f0387b06b5d24c0ce90f8f89f31a565cc05789189c5d59b5df02594f2e371"},
+    {file = "moto-5.1.10-py3-none-any.whl", hash = "sha256:9ec1a21a924f97470af225b2bfa854fe46c1ad30fb44655eba458206dedf28b5"},
+    {file = "moto-5.1.10.tar.gz", hash = "sha256:d6bdc8f82a1e503502927cc0a3da22014f836094d0bf399bb0f695754ae6c7a6"},
 ]
 
 [package.dependencies]
@@ -3177,24 +3117,24 @@ tests = ["pytest (>=4.6)"]
 
 [[package]]
 name = "msal"
-version = "1.33.0"
+version = "1.32.3"
 description = "The Microsoft Authentication Library (MSAL) for Python library enables your app to access the Microsoft Cloud by supporting authentication of users with Microsoft Azure Active Directory accounts (AAD) and Microsoft Accounts (MSA) using industry standard OAuth2 and OpenID Connect."
 optional = true
 python-versions = ">=3.7"
 groups = ["main"]
 markers = "extra == \"adlfs\""
 files = [
-    {file = "msal-1.33.0-py3-none-any.whl", hash = "sha256:c0cd41cecf8eaed733ee7e3be9e040291eba53b0f262d3ae9c58f38b04244273"},
-    {file = "msal-1.33.0.tar.gz", hash = "sha256:836ad80faa3e25a7d71015c990ce61f704a87328b1e73bcbb0623a18cbf17510"},
+    {file = "msal-1.32.3-py3-none-any.whl", hash = "sha256:b2798db57760b1961b142f027ffb7c8169536bf77316e99a0df5c4aaebb11569"},
+    {file = "msal-1.32.3.tar.gz", hash = "sha256:5eea038689c78a5a70ca8ecbe1245458b55a857bd096efb6989c69ba15985d35"},
 ]
 
 [package.dependencies]
-cryptography = ">=2.5,<48"
+cryptography = ">=2.5,<47"
 PyJWT = {version = ">=1.0.0,<3", extras = ["crypto"]}
 requests = ">=2.0.0,<3"
 
 [package.extras]
-broker = ["pymsalruntime (>=0.14,<0.19) ; python_version >= \"3.6\" and platform_system == \"Windows\"", "pymsalruntime (>=0.17,<0.19) ; python_version >= \"3.8\" and platform_system == \"Darwin\"", "pymsalruntime (>=0.18,<0.19) ; python_version >= \"3.8\" and platform_system == \"Linux\""]
+broker = ["pymsalruntime (>=0.14,<0.18) ; python_version >= \"3.6\" and platform_system == \"Windows\"", "pymsalruntime (>=0.17,<0.18) ; python_version >= \"3.8\" and platform_system == \"Darwin\""]
 
 [[package]]
 name = "msal-extensions"
@@ -3292,7 +3232,7 @@ description = "multidict implementation"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "extra == \"s3fs\" or extra == \"adlfs\" or extra == \"gcsfs\""
+markers = "extra == \"adlfs\" or extra == \"gcsfs\" or extra == \"s3fs\""
 files = [
     {file = "multidict-6.6.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a2be5b7b35271f7fff1397204ba6708365e3d773579fe2a30625e16c4b4ce817"},
     {file = "multidict-6.6.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:12f4581d2930840295c461764b9a65732ec01250b46c6b2c510d7ee68872b140"},
@@ -3411,14 +3351,14 @@ typing-extensions = {version = ">=4.1.0", markers = "python_version < \"3.11\""}
 
 [[package]]
 name = "mypy-boto3-dynamodb"
-version = "1.39.0"
-description = "Type annotations for boto3 DynamoDB 1.39.0 service generated with mypy-boto3-builder 8.11.0"
+version = "1.40.0"
+description = "Type annotations for boto3 DynamoDB 1.40.0 service generated with mypy-boto3-builder 8.11.0"
 optional = false
 python-versions = ">=3.8"
 groups = ["dev"]
 files = [
-    {file = "mypy_boto3_dynamodb-1.39.0-py3-none-any.whl", hash = "sha256:3a136f9d764fa5e1b2ff464fa9599533fd00e65affe47bd28a40d920ece707a4"},
-    {file = "mypy_boto3_dynamodb-1.39.0.tar.gz", hash = "sha256:c3bafc7b4f8d59bac9a7436c7ccfb6fe32991bc7fc88c62264eaad06ae63f8a8"},
+    {file = "mypy_boto3_dynamodb-1.40.0-py3-none-any.whl", hash = "sha256:b7b0c02e58d1c2323378a9c648c39c68bef867cf7da2721ea257e1c6aaa3d229"},
+    {file = "mypy_boto3_dynamodb-1.40.0.tar.gz", hash = "sha256:97f65006a1706f7cbdf53ad1c3a9914e10b53754194db4ad12004eca7c376b4e"},
 ]
 
 [package.dependencies]
@@ -3426,14 +3366,14 @@ typing-extensions = {version = "*", markers = "python_version < \"3.12\""}
 
 [[package]]
 name = "mypy-boto3-glue"
-version = "1.39.12"
-description = "Type annotations for boto3 Glue 1.39.12 service generated with mypy-boto3-builder 8.11.0"
+version = "1.40.5"
+description = "Type annotations for boto3 Glue 1.40.5 service generated with mypy-boto3-builder 8.11.0"
 optional = false
 python-versions = ">=3.8"
 groups = ["dev"]
 files = [
-    {file = "mypy_boto3_glue-1.39.12-py3-none-any.whl", hash = "sha256:c7c7eb3e3923d4ed4e61ae9a67b52990b40a84459183d05a83c25c1450402485"},
-    {file = "mypy_boto3_glue-1.39.12.tar.gz", hash = "sha256:ee4e2123acb6f36088e539b58beb268c81cee8df37985944d9c6374a781e917a"},
+    {file = "mypy_boto3_glue-1.40.5-py3-none-any.whl", hash = "sha256:a86c478345545b5c55adf8eef2648c3663161a678fa7313f019795a725768e06"},
+    {file = "mypy_boto3_glue-1.40.5.tar.gz", hash = "sha256:bb1de6748dae6685aa10dee9f32be658cf05df1f16cd05096892b58f87d8bd71"},
 ]
 
 [package.dependencies]
@@ -3609,7 +3549,7 @@ description = "Fundamental package for array computing in Python"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "python_version < \"3.10\" and (extra == \"pandas\" or extra == \"ray\" or extra == \"bodo\")"
+markers = "python_version < \"3.10\" and (extra == \"bodo\" or extra == \"pandas\" or extra == \"ray\")"
 files = [
     {file = "numpy-2.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:51129a29dbe56f9ca83438b706e2e69a39892b5eda6cedcb6b0c9fdc9b0d3ece"},
     {file = "numpy-2.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f15975dfec0cf2239224d80e32c3170b1d168335eaedee69da84fbe9f1f9cd04"},
@@ -3665,7 +3605,7 @@ description = "Fundamental package for array computing in Python"
 optional = true
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "python_version >= \"3.10\" and (extra == \"pandas\" or extra == \"ray\" or extra == \"bodo\")"
+markers = "python_version >= \"3.10\" and (extra == \"bodo\" or extra == \"pandas\" or extra == \"ray\")"
 files = [
     {file = "numpy-2.2.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b412caa66f72040e6d268491a59f2c43bf03eb6c96dd8f0307829feb7fa2b6fb"},
     {file = "numpy-2.2.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8e41fd67c52b86603a91c1a505ebaef50b3314de0213461c7a6e99c9a3beff90"},
@@ -3788,7 +3728,7 @@ files = [
     {file = "packaging-25.0-py3-none-any.whl", hash = "sha256:29572ef2b1f17581046b3a2227d5c611fb25ec70ca1ba8554b24b0e69331a484"},
     {file = "packaging-25.0.tar.gz", hash = "sha256:d443872c98d677bf60f6a1f2f8c1cb748e8fe762d2bf9d3148b5599295b0fc4f"},
 ]
-markers = {main = "python_version == \"3.9\" and (extra == \"ray\" or extra == \"hf\") or extra == \"hf\" or extra == \"ray\""}
+markers = {main = "extra == \"ray\" or extra == \"hf\""}
 
 [[package]]
 name = "paginate"
@@ -3813,7 +3753,7 @@ description = "Powerful data structures for data analysis, time series, and stat
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "extra == \"pandas\" or extra == \"ray\" or extra == \"bodo\""
+markers = "extra == \"bodo\" or extra == \"pandas\" or extra == \"ray\""
 files = [
     {file = "pandas-2.3.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:22c2e866f7209ebc3a8f08d75766566aae02bcc91d196935a1d9e59c7b990ac9"},
     {file = "pandas-2.3.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3583d348546201aff730c8c47e49bc159833f971c2899d6097bce68b9112a4f1"},
@@ -3862,8 +3802,8 @@ files = [
 [package.dependencies]
 numpy = [
     {version = ">=1.22.4", markers = "python_version < \"3.11\""},
-    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
     {version = ">=1.23.2", markers = "python_version == \"3.11\""},
+    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
 ]
 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
@@ -3965,20 +3905,20 @@ files = [
 
 [[package]]
 name = "polars"
-version = "1.31.0"
+version = "1.32.2"
 description = "Blazingly fast DataFrame library"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"polars\""
 files = [
-    {file = "polars-1.31.0-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:ccc68cd6877deecd46b13cbd2663ca89ab2a2cb1fe49d5cfc66a9cef166566d9"},
-    {file = "polars-1.31.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:a94c5550df397ad3c2d6adc212e59fd93d9b044ec974dd3653e121e6487a7d21"},
-    {file = "polars-1.31.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ada7940ed92bea65d5500ae7ac1f599798149df8faa5a6db150327c9ddbee4f1"},
-    {file = "polars-1.31.0-cp39-abi3-manylinux_2_24_aarch64.whl", hash = "sha256:b324e6e3e8c6cc6593f9d72fe625f06af65e8d9d47c8686583585533a5e731e1"},
-    {file = "polars-1.31.0-cp39-abi3-win_amd64.whl", hash = "sha256:3fd874d3432fc932863e8cceff2cff8a12a51976b053f2eb6326a0672134a632"},
-    {file = "polars-1.31.0-cp39-abi3-win_arm64.whl", hash = "sha256:62ef23bb9d10dca4c2b945979f9a50812ac4ace4ed9e158a6b5d32a7322e6f75"},
-    {file = "polars-1.31.0.tar.gz", hash = "sha256:59a88054a5fc0135386268ceefdbb6a6cc012d21b5b44fed4f1d3faabbdcbf32"},
+    {file = "polars-1.32.2-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:f21da6a5210898ec800b7e9e667fb53eb9161b7ceb812ee6555ff5661a00e517"},
+    {file = "polars-1.32.2-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:d3f4e061312ef6c2a907378ce407a6132734fe1a13f261a1984a1a9ca2f6febc"},
+    {file = "polars-1.32.2-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a711a750cfc19f1f883d2b46895dd698abf4d446ca41c3bf510ced0ff1178057"},
+    {file = "polars-1.32.2-cp39-abi3-manylinux_2_24_aarch64.whl", hash = "sha256:d1c53a828eedc215fb0dabc7cef02c6f4ad042157512ddb99840fd42b8da1e8a"},
+    {file = "polars-1.32.2-cp39-abi3-win_amd64.whl", hash = "sha256:5e1660a584e89e1d60cd89984feca38a695e491a966581fefe8be99c230ea154"},
+    {file = "polars-1.32.2-cp39-abi3-win_arm64.whl", hash = "sha256:cd390364f6f3927474bd0aed255103195b9d2b3eef0f0c5bb429db5e6311615e"},
+    {file = "polars-1.32.2.tar.gz", hash = "sha256:b4c5cefc7cf7a2461f8800cf2c09976c47cb1fd959c6ef3024d5618b497f05d3"},
 ]
 
 [package.extras]
@@ -4010,14 +3950,14 @@ xlsxwriter = ["xlsxwriter"]
 
 [[package]]
 name = "pre-commit"
-version = "4.2.0"
+version = "4.3.0"
 description = "A framework for managing and maintaining multi-language pre-commit hooks."
 optional = false
 python-versions = ">=3.9"
 groups = ["dev"]
 files = [
-    {file = "pre_commit-4.2.0-py2.py3-none-any.whl", hash = "sha256:a009ca7205f1eb497d10b845e52c838a98b6cdd2102a6c8e4540e94ee75c58bd"},
-    {file = "pre_commit-4.2.0.tar.gz", hash = "sha256:601283b9757afd87d40c4c4a9b2b5de9637a8ea02eaff7adc2d0fb4e04841146"},
+    {file = "pre_commit-4.3.0-py2.py3-none-any.whl", hash = "sha256:2b0747ad7e6e967169136edffee14c16e148a778a54e4f967921aa1ebf2308d8"},
+    {file = "pre_commit-4.3.0.tar.gz", hash = "sha256:499fe450cc9d42e9d58e606262795ecb64dd05438943c62b66f6a8673da30b16"},
 ]
 
 [package.dependencies]
@@ -4034,7 +3974,7 @@ description = "Accelerated property cache"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "extra == \"s3fs\" or extra == \"adlfs\" or extra == \"gcsfs\""
+markers = "extra == \"adlfs\" or extra == \"gcsfs\" or extra == \"s3fs\""
 files = [
     {file = "propcache-0.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:22d9962a358aedbb7a2e36187ff273adeaab9743373a272976d2e348d08c7770"},
     {file = "propcache-0.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0d0fda578d1dc3f77b6b5a5dce3b9ad69a8250a891760a548df850a5e8da87f3"},
@@ -4162,7 +4102,7 @@ description = ""
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "python_version == \"3.9\" and (extra == \"ray\" or extra == \"gcsfs\") or extra == \"gcsfs\" or extra == \"ray\""
+markers = "extra == \"ray\" or extra == \"gcsfs\""
 files = [
     {file = "protobuf-6.31.1-cp310-abi3-win32.whl", hash = "sha256:7fa17d5a29c2e04b7d90e5e32388b8bfd0e7107cd8e616feef7ed3fa6bdab5c9"},
     {file = "protobuf-6.31.1-cp310-abi3-win_amd64.whl", hash = "sha256:426f59d2964864a1a366254fa703b8632dcec0790d8862d30034d8245e1cd447"},
@@ -4329,7 +4269,7 @@ description = "Python library for Apache Arrow"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "extra == \"pyarrow\" or extra == \"pandas\" or extra == \"duckdb\" or extra == \"ray\" or extra == \"bodo\" or extra == \"daft\" or extra == \"datafusion\""
+markers = "extra == \"bodo\" or extra == \"daft\" or extra == \"datafusion\" or extra == \"duckdb\" or extra == \"pandas\" or extra == \"pyarrow\" or extra == \"ray\""
 files = [
     {file = "pyarrow-19.0.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:fc28912a2dc924dddc2087679cc8b7263accc71b9ff025a1362b004711661a69"},
     {file = "pyarrow-19.0.1-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:fca15aabbe9b8355800d923cc2e82c8ef514af321e18b437c3d782aa884eaeec"},
@@ -4385,7 +4325,7 @@ description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs
 optional = true
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "extra == \"gcsfs\""
+markers = "extra == \"gcsfs\" or extra == \"gcp-auth\""
 files = [
     {file = "pyasn1-0.6.1-py3-none-any.whl", hash = "sha256:0d632f46f2ba09143da3a8afe9e33fb6f92fa2320ab7e886e2d0f7672af84629"},
     {file = "pyasn1-0.6.1.tar.gz", hash = "sha256:6f580d2bdd84365380830acf45550f2511469f673cb4a5ae3857a3170128b034"},
@@ -4398,7 +4338,7 @@ description = "A collection of ASN.1-based protocols modules"
 optional = true
 python-versions = ">=3.8"
 groups = ["main"]
-markers = "extra == \"gcsfs\""
+markers = "extra == \"gcsfs\" or extra == \"gcp-auth\""
 files = [
     {file = "pyasn1_modules-0.4.2-py3-none-any.whl", hash = "sha256:29253a9207ce32b64c3ac6600edc75368f98473906e8fd1043bd6b5b1de2c14a"},
     {file = "pyasn1_modules-0.4.2.tar.gz", hash = "sha256:677091de870a80aae844b1ca6134f54652fa2c8c5a52aa396440ac3106e941e6"},
@@ -4571,19 +4511,19 @@ windows-terminal = ["colorama (>=0.4.6)"]
 
 [[package]]
 name = "pyiceberg-core"
-version = "0.5.1"
+version = "0.6.0"
 description = ""
 optional = true
 python-versions = "~=3.9"
 groups = ["main"]
 markers = "extra == \"pyarrow\" or extra == \"pyiceberg-core\""
 files = [
-    {file = "pyiceberg_core-0.5.1-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:f5bffe70f036d4409ab5f8a2a52353635dfa9afa665e84eb5fb0415d12171aaa"},
-    {file = "pyiceberg_core-0.5.1-cp39-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:aa5d0d00efeb7c03ad48b17577452f42398f398b41034d2695a294c872365fcd"},
-    {file = "pyiceberg_core-0.5.1-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6ae88f65f68898a680dde4d83179903d14b9ef2ca8f7b8715fca5d91a2aa24cd"},
-    {file = "pyiceberg_core-0.5.1-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:9d02f82292d2d01cc6b43f79eadf1209e84457cf0a2b945a2ed834245d6a45f6"},
-    {file = "pyiceberg_core-0.5.1-cp39-abi3-win_amd64.whl", hash = "sha256:aad22d3ea743fcf941336542fcf565e16b28b9131087d70e1b03924005334af3"},
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 [[package]]
@@ -4610,14 +4550,14 @@ tests = ["coverage[toml] (==5.0.4)", "pytest (>=6.0.0,<7.0.0)"]
 
 [[package]]
 name = "pymdown-extensions"
-version = "10.16.1"
+version = "10.16"
 description = "Extension pack for Python Markdown."
 optional = false
 python-versions = ">=3.9"
 groups = ["docs"]
 files = [
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 ]
 
 [package.dependencies]
@@ -4883,7 +4823,7 @@ description = "World timezone definitions, modern and historical"
 optional = true
 python-versions = "*"
 groups = ["main"]
-markers = "extra == \"pandas\" or extra == \"ray\" or extra == \"bodo\""
+markers = "extra == \"bodo\" or extra == \"pandas\" or extra == \"ray\""
 files = [
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@@ -4982,7 +4922,7 @@ files = [
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 ]
-markers = {main = "python_version == \"3.9\" and (extra == \"ray\" or extra == \"hf\") or extra == \"hf\" or extra == \"ray\""}
+markers = {main = "extra == \"ray\" or extra == \"hf\""}
 
 [[package]]
 name = "pyyaml-env-tag"
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 name = "regex"
-version = "2025.7.31"
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 description = "Alternative regular expression module, to replace re."
 optional = false
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 ]
 
 [[package]]
@@ -5304,23 +5251,6 @@ pygments = ">=2.13.0,<3.0.0"
 [package.extras]
 jupyter = ["ipywidgets (>=7.5.1,<9)"]
 
-[[package]]
-name = "roman-numerals-py"
-version = "3.1.0"
-description = "Manipulate well-formed Roman numerals"
-optional = false
-python-versions = ">=3.9"
-groups = ["dev"]
-markers = "python_version >= \"3.11\""
-files = [
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-
-[package.extras]
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-test = ["pytest (>=8)"]
-
 [[package]]
 name = "rpds-py"
 version = "0.26.0"
@@ -5483,7 +5413,7 @@ description = "Pure-Python RSA implementation"
 optional = true
 python-versions = "<4,>=3.6"
 groups = ["main"]
-markers = "extra == \"gcsfs\""
+markers = "extra == \"gcsfs\" or extra == \"gcp-auth\""
 files = [
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@@ -5494,21 +5424,21 @@ pyasn1 = ">=0.1.3"
 
 [[package]]
 name = "s3fs"
-version = "2025.7.0"
+version = "2025.5.1"
 description = "Convenient Filesystem interface over S3"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"s3fs\""
 files = [
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 ]
 
 [package.dependencies]
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 aiohttp = "<4.0.0a0 || >4.0.0a0,<4.0.0a1 || >4.0.0a1"
-fsspec = "2025.7.0"
+fsspec = "2025.5.1"
 
 [package.extras]
 awscli = ["aiobotocore[awscli] (>=2.5.4,<3.0.0)"]
@@ -5516,16 +5446,16 @@ boto3 = ["aiobotocore[boto3] (>=2.5.4,<3.0.0)"]
 
 [[package]]
 name = "s3transfer"
-version = "0.13.1"
+version = "0.13.0"
 description = "An Amazon S3 Transfer Manager"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "dev"]
 files = [
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 ]
-markers = {main = "extra == \"glue\" or extra == \"dynamodb\" or extra == \"rest-sigv4\""}
+markers = {main = "extra == \"dynamodb\" or extra == \"glue\" or extra == \"rest-sigv4\""}
 
 [package.dependencies]
 botocore = ">=1.37.4,<2.0a.0"
@@ -5592,115 +5522,39 @@ files = [
 
 [[package]]
 name = "sphinx"
-version = "7.4.7"
+version = "3.5.3"
 description = "Python documentation generator"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.5"
 groups = ["dev"]
-markers = "python_version < \"3.10\""
 files = [
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+    {file = "Sphinx-3.5.3.tar.gz", hash = "sha256:ce9c228456131bab09a3d7d10ae58474de562a6f79abb3dc811ae401cf8c1abc"},
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 [package.dependencies]
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-packaging = ">=23.0"
-Pygments = ">=2.17"
-requests = ">=2.30.0"
-snowballstemmer = ">=2.2"
+alabaster = ">=0.7,<0.8"
+babel = ">=1.3"
+colorama = {version = ">=0.3.5", markers = "sys_platform == \"win32\""}
+docutils = ">=0.12"
+imagesize = "*"
+Jinja2 = ">=2.3"
+packaging = "*"
+Pygments = ">=2.0"
+requests = ">=2.5.0"
+setuptools = "*"
+snowballstemmer = ">=1.1"
 sphinxcontrib-applehelp = "*"
 sphinxcontrib-devhelp = "*"
-sphinxcontrib-htmlhelp = ">=2.0.0"
+sphinxcontrib-htmlhelp = "*"
 sphinxcontrib-jsmath = "*"
 sphinxcontrib-qthelp = "*"
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-tomli = {version = ">=2", markers = "python_version < \"3.11\""}
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-sphinxcontrib-qthelp = ">=1.0.6"
-sphinxcontrib-serializinghtml = ">=1.1.9"
+sphinxcontrib-serializinghtml = "*"
 
 [package.extras]
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+lint = ["docutils-stubs", "flake8 (>=3.5.0)", "isort", "mypy (>=0.800)"]
+test = ["cython", "html5lib", "pytest", "pytest-cov", "typed-ast ; python_version < \"3.8\""]
 
 [[package]]
 name = "sphinxcontrib-applehelp"
@@ -5804,70 +5658,60 @@ test = ["pytest"]
 
 [[package]]
 name = "sqlalchemy"
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+version = "2.0.43"
 description = "Database Abstraction Library"
 optional = true
 python-versions = ">=3.7"
 groups = ["main"]
 markers = "extra == \"sql-postgres\" or extra == \"sql-sqlite\""
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 [package.dependencies]
@@ -6033,7 +5877,7 @@ description = "Fast, Extensible Progress Meter"
 optional = true
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "extra == \"hf\" or extra == \"daft\""
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 optional = true
 python-versions = ">=2"
 groups = ["main"]
-markers = "extra == \"pandas\" or extra == \"ray\" or extra == \"bodo\""
+markers = "extra == \"bodo\" or extra == \"pandas\" or extra == \"ray\""
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 [[package]]
 name = "virtualenv"
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 description = "Virtual Python Environment builder"
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 python-versions = ">=3.8"
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 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "extra == \"s3fs\" or extra == \"adlfs\" or extra == \"gcsfs\""
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 files = [
     {file = "yarl-1.20.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:6032e6da6abd41e4acda34d75a816012717000fa6839f37124a47fcefc49bec4"},
     {file = "yarl-1.20.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2c7b34d804b8cf9b214f05015c4fee2ebe7ed05cf581e7192c06555c71f4446a"},
@@ -6573,6 +6417,7 @@ daft = ["daft"]
 datafusion = ["datafusion"]
 duckdb = ["duckdb", "pyarrow"]
 dynamodb = ["boto3"]
+gcp-auth = ["google-auth"]
 gcsfs = ["gcsfs"]
 glue = ["boto3"]
 hf = ["huggingface-hub"]
@@ -6593,4 +6438,4 @@ zstandard = ["zstandard"]
 [metadata]
 lock-version = "2.1"
 python-versions = "^3.9.2, !=3.9.7"
-content-hash = "b94a0776a3b55a9609865a61ec239d498afe3d1aaa73c399d67561ae51a3e2c0"
+content-hash = "bb54e8caddecc4be1b9614edfd2fe105aa486ed7dca172917df39d6c90b33b0a"
diff --git a/pyiceberg/catalog/__init__.py b/pyiceberg/catalog/__init__.py
index 4da116434e..1607541d0b 100644
--- a/pyiceberg/catalog/__init__.py
+++ b/pyiceberg/catalog/__init__.py
@@ -70,6 +70,7 @@
     Identifier,
     Properties,
     RecursiveDict,
+    TableVersion,
 )
 from pyiceberg.utils.config import Config, merge_config
 from pyiceberg.utils.properties import property_as_bool
@@ -743,7 +744,9 @@ def _load_file_io(self, properties: Properties = EMPTY_DICT, location: Optional[
         return load_file_io({**self.properties, **properties}, location)
 
     @staticmethod
-    def _convert_schema_if_needed(schema: Union[Schema, "pa.Schema"]) -> Schema:
+    def _convert_schema_if_needed(
+        schema: Union[Schema, "pa.Schema"], format_version: TableVersion = TableProperties.DEFAULT_FORMAT_VERSION
+    ) -> Schema:
         if isinstance(schema, Schema):
             return schema
         try:
@@ -754,7 +757,10 @@ def _convert_schema_if_needed(schema: Union[Schema, "pa.Schema"]) -> Schema:
             downcast_ns_timestamp_to_us = Config().get_bool(DOWNCAST_NS_TIMESTAMP_TO_US_ON_WRITE) or False
             if isinstance(schema, pa.Schema):
                 schema: Schema = visit_pyarrow(  # type: ignore
-                    schema, _ConvertToIcebergWithoutIDs(downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us)
+                    schema,
+                    _ConvertToIcebergWithoutIDs(
+                        downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us, format_version=format_version
+                    ),
                 )
                 return schema
         except ModuleNotFoundError:
@@ -847,7 +853,10 @@ def _create_staged_table(
         Returns:
             StagedTable: the created staged table instance.
         """
-        schema: Schema = self._convert_schema_if_needed(schema)  # type: ignore
+        schema: Schema = self._convert_schema_if_needed(  # type: ignore
+            schema,
+            int(properties.get(TableProperties.FORMAT_VERSION, TableProperties.DEFAULT_FORMAT_VERSION)),  # type: ignore
+        )
 
         database_name, table_name = self.identifier_to_database_and_table(identifier)
 
diff --git a/pyiceberg/catalog/rest/__init__.py b/pyiceberg/catalog/rest/__init__.py
index b39af9fc92..c43a64f3cc 100644
--- a/pyiceberg/catalog/rest/__init__.py
+++ b/pyiceberg/catalog/rest/__init__.py
@@ -64,6 +64,7 @@
     StagedTable,
     Table,
     TableIdentifier,
+    TableProperties,
 )
 from pyiceberg.table.metadata import TableMetadata
 from pyiceberg.table.sorting import UNSORTED_SORT_ORDER, SortOrder, assign_fresh_sort_order_ids
@@ -498,7 +499,10 @@ def _create_table(
         properties: Properties = EMPTY_DICT,
         stage_create: bool = False,
     ) -> TableResponse:
-        iceberg_schema = self._convert_schema_if_needed(schema)
+        iceberg_schema = self._convert_schema_if_needed(
+            schema,
+            int(properties.get(TableProperties.FORMAT_VERSION, TableProperties.DEFAULT_FORMAT_VERSION)),  # type: ignore
+        )
         fresh_schema = assign_fresh_schema_ids(iceberg_schema)
         fresh_partition_spec = assign_fresh_partition_spec_ids(partition_spec, iceberg_schema, fresh_schema)
         fresh_sort_order = assign_fresh_sort_order_ids(sort_order, iceberg_schema, fresh_schema)
diff --git a/pyiceberg/catalog/rest/auth.py b/pyiceberg/catalog/rest/auth.py
index c0a0267f54..ab547d8d55 100644
--- a/pyiceberg/catalog/rest/auth.py
+++ b/pyiceberg/catalog/rest/auth.py
@@ -17,8 +17,9 @@
 
 import base64
 import importlib
+import logging
 from abc import ABC, abstractmethod
-from typing import Any, Dict, Optional, Type
+from typing import Any, Dict, List, Optional, Type
 
 from requests import HTTPError, PreparedRequest, Session
 from requests.auth import AuthBase
@@ -27,6 +28,7 @@
 from pyiceberg.exceptions import OAuthError
 
 COLON = ":"
+logger = logging.getLogger(__name__)
 
 
 class AuthManager(ABC):
@@ -119,6 +121,35 @@ def auth_header(self) -> str:
         return f"Bearer {self._token}"
 
 
+class GoogleAuthManager(AuthManager):
+    """An auth manager that is responsible for handling Google credentials."""
+
+    def __init__(self, credentials_path: Optional[str] = None, scopes: Optional[List[str]] = None):
+        """
+        Initialize GoogleAuthManager.
+
+        Args:
+            credentials_path: Optional path to Google credentials JSON file.
+            scopes: Optional list of OAuth2 scopes.
+        """
+        try:
+            import google.auth
+            import google.auth.transport.requests
+        except ImportError as e:
+            raise ImportError("Google Auth libraries not found. Please install 'google-auth'.") from e
+
+        if credentials_path:
+            self.credentials, _ = google.auth.load_credentials_from_file(credentials_path, scopes=scopes)
+        else:
+            logger.info("Using Google Default Application Credentials")
+            self.credentials, _ = google.auth.default(scopes=scopes)
+        self._auth_request = google.auth.transport.requests.Request()
+
+    def auth_header(self) -> str:
+        self.credentials.refresh(self._auth_request)
+        return f"Bearer {self.credentials.token}"
+
+
 class AuthManagerAdapter(AuthBase):
     """A `requests.auth.AuthBase` adapter that integrates an `AuthManager` into a `requests.Session` to automatically attach the appropriate Authorization header to every request.
 
@@ -197,3 +228,4 @@ def create(cls, class_or_name: str, config: Dict[str, Any]) -> AuthManager:
 AuthManagerFactory.register("noop", NoopAuthManager)
 AuthManagerFactory.register("basic", BasicAuthManager)
 AuthManagerFactory.register("legacyoauth2", LegacyOAuth2AuthManager)
+AuthManagerFactory.register("google", GoogleAuthManager)
diff --git a/pyiceberg/expressions/visitors.py b/pyiceberg/expressions/visitors.py
index 26241d2351..a6268c0d48 100644
--- a/pyiceberg/expressions/visitors.py
+++ b/pyiceberg/expressions/visitors.py
@@ -861,6 +861,7 @@ class _ColumnNameTranslator(BooleanExpressionVisitor[BooleanExpression]):
     Args:
       file_schema (Schema): The schema of the file.
       case_sensitive (bool): Whether to consider case when binding a reference to a field in a schema, defaults to True.
+      projected_field_values (Dict[int, Any]): Values for projected fields not present in the data file.
 
     Raises:
         TypeError: In the case of an UnboundPredicate.
@@ -869,10 +870,12 @@ class _ColumnNameTranslator(BooleanExpressionVisitor[BooleanExpression]):
 
     file_schema: Schema
     case_sensitive: bool
+    projected_field_values: Dict[int, Any]
 
-    def __init__(self, file_schema: Schema, case_sensitive: bool) -> None:
+    def __init__(self, file_schema: Schema, case_sensitive: bool, projected_field_values: Dict[int, Any] = EMPTY_DICT) -> None:
         self.file_schema = file_schema
         self.case_sensitive = case_sensitive
+        self.projected_field_values = projected_field_values
 
     def visit_true(self) -> BooleanExpression:
         return AlwaysTrue()
@@ -894,12 +897,12 @@ def visit_unbound_predicate(self, predicate: UnboundPredicate[L]) -> BooleanExpr
 
     def visit_bound_predicate(self, predicate: BoundPredicate[L]) -> BooleanExpression:
         field = predicate.term.ref().field
-        file_column_name = self.file_schema.find_column_name(field.field_id)
+        field_id = field.field_id
+        file_column_name = self.file_schema.find_column_name(field_id)
 
         if file_column_name is None:
-            # In the case of schema evolution, the column might not be present
-            # we can use the default value as a constant and evaluate it against
-            # the predicate
+            # In the case of schema evolution or column projection, the field might not be present in the file schema.
+            # we can use the projected value or the field's default value as a constant and evaluate it against the predicate
             pred: BooleanExpression
             if isinstance(predicate, BoundUnaryPredicate):
                 pred = predicate.as_unbound(field.name)
@@ -910,9 +913,15 @@ def visit_bound_predicate(self, predicate: BoundPredicate[L]) -> BooleanExpressi
             else:
                 raise ValueError(f"Unsupported predicate: {predicate}")
 
+            # In the order described by the "Column Projection" section of the Iceberg spec:
+            # https://iceberg.apache.org/spec/#column-projection
+            # Evaluate column projection first if it exists, otherwise default to the initial-default-value
+            field_value = (
+                self.projected_field_values[field_id] if field.field_id in self.projected_field_values else field.initial_default
+            )
             return (
                 AlwaysTrue()
-                if expression_evaluator(Schema(field), pred, case_sensitive=self.case_sensitive)(Record(field.initial_default))
+                if expression_evaluator(Schema(field), pred, case_sensitive=self.case_sensitive)(Record(field_value))
                 else AlwaysFalse()
             )
 
@@ -926,8 +935,10 @@ def visit_bound_predicate(self, predicate: BoundPredicate[L]) -> BooleanExpressi
             raise ValueError(f"Unsupported predicate: {predicate}")
 
 
-def translate_column_names(expr: BooleanExpression, file_schema: Schema, case_sensitive: bool) -> BooleanExpression:
-    return visit(expr, _ColumnNameTranslator(file_schema, case_sensitive))
+def translate_column_names(
+    expr: BooleanExpression, file_schema: Schema, case_sensitive: bool = True, projected_field_values: Dict[int, Any] = EMPTY_DICT
+) -> BooleanExpression:
+    return visit(expr, _ColumnNameTranslator(file_schema, case_sensitive, projected_field_values))
 
 
 class _ExpressionFieldIDs(BooleanExpressionVisitor[Set[int]]):
diff --git a/pyiceberg/io/__init__.py b/pyiceberg/io/__init__.py
index 0b03a7dd4f..9e4bf104c2 100644
--- a/pyiceberg/io/__init__.py
+++ b/pyiceberg/io/__init__.py
@@ -74,6 +74,7 @@
 HDFS_USER = "hdfs.user"
 HDFS_KERB_TICKET = "hdfs.kerberos_ticket"
 ADLS_CONNECTION_STRING = "adls.connection-string"
+ADLS_CREDENTIAL = "adls.credential"
 ADLS_ACCOUNT_NAME = "adls.account-name"
 ADLS_ACCOUNT_KEY = "adls.account-key"
 ADLS_SAS_TOKEN = "adls.sas-token"
@@ -85,6 +86,7 @@
 ADLS_DFS_STORAGE_AUTHORITY = "adls.dfs-storage-authority"
 ADLS_BLOB_STORAGE_SCHEME = "adls.blob-storage-scheme"
 ADLS_DFS_STORAGE_SCHEME = "adls.dfs-storage-scheme"
+ADLS_TOKEN = "adls.token"
 GCS_TOKEN = "gcs.oauth2.token"
 GCS_TOKEN_EXPIRES_AT_MS = "gcs.oauth2.token-expires-at"
 GCS_PROJECT_ID = "gcs.project-id"
diff --git a/pyiceberg/io/fsspec.py b/pyiceberg/io/fsspec.py
index 6febff0ae6..d37890d58b 100644
--- a/pyiceberg/io/fsspec.py
+++ b/pyiceberg/io/fsspec.py
@@ -45,8 +45,10 @@
     ADLS_CLIENT_ID,
     ADLS_CLIENT_SECRET,
     ADLS_CONNECTION_STRING,
+    ADLS_CREDENTIAL,
     ADLS_SAS_TOKEN,
     ADLS_TENANT_ID,
+    ADLS_TOKEN,
     AWS_ACCESS_KEY_ID,
     AWS_REGION,
     AWS_SECRET_ACCESS_KEY,
@@ -191,7 +193,11 @@ def _gs(properties: Properties) -> AbstractFileSystem:
 
 
 def _adls(properties: Properties) -> AbstractFileSystem:
+    import time
+
     from adlfs import AzureBlobFileSystem
+    from azure.core.credentials import AccessToken
+    from azure.core.credentials_async import AsyncTokenCredential
 
     for key, sas_token in {
         key.replace(f"{ADLS_SAS_TOKEN}.", ""): value for key, value in properties.items() if key.startswith(ADLS_SAS_TOKEN)
@@ -201,8 +207,29 @@ def _adls(properties: Properties) -> AbstractFileSystem:
         if ADLS_SAS_TOKEN not in properties:
             properties[ADLS_SAS_TOKEN] = sas_token
 
+    class StaticTokenCredential(AsyncTokenCredential):
+        def __init__(self, token_string: str) -> None:
+            self._token = token_string
+            # If no expiry provided, set 1 hour from now
+            self._expires_on = int(time.time()) + 3600
+
+        async def get_token(self, *scopes: str, **kwargs: Any) -> AccessToken:
+            return AccessToken(self._token, self._expires_on)
+
+    if ADLS_TOKEN in properties:
+        token = properties.get(ADLS_TOKEN)
+        if token is not None:
+            credential = StaticTokenCredential(token)
+        else:
+            credential = None
+    elif ADLS_CREDENTIAL in properties:
+        credential = properties.get(ADLS_CREDENTIAL)
+    else:
+        credential = None
+
     return AzureBlobFileSystem(
         connection_string=properties.get(ADLS_CONNECTION_STRING),
+        credential=credential,
         account_name=properties.get(ADLS_ACCOUNT_NAME),
         account_key=properties.get(ADLS_ACCOUNT_KEY),
         sas_token=properties.get(ADLS_SAS_TOKEN),
diff --git a/pyiceberg/io/pyarrow.py b/pyiceberg/io/pyarrow.py
index 2797371028..c756487c32 100644
--- a/pyiceberg/io/pyarrow.py
+++ b/pyiceberg/io/pyarrow.py
@@ -87,9 +87,12 @@
     ADLS_ACCOUNT_NAME,
     ADLS_BLOB_STORAGE_AUTHORITY,
     ADLS_BLOB_STORAGE_SCHEME,
+    ADLS_CLIENT_ID,
+    ADLS_CLIENT_SECRET,
     ADLS_DFS_STORAGE_AUTHORITY,
     ADLS_DFS_STORAGE_SCHEME,
     ADLS_SAS_TOKEN,
+    ADLS_TENANT_ID,
     AWS_ACCESS_KEY_ID,
     AWS_REGION,
     AWS_ROLE_ARN,
@@ -131,7 +134,6 @@
 )
 from pyiceberg.partitioning import PartitionField, PartitionFieldValue, PartitionKey, PartitionSpec, partition_record_value
 from pyiceberg.schema import (
-    Accessor,
     PartnerAccessor,
     PreOrderSchemaVisitor,
     Schema,
@@ -146,12 +148,13 @@
     visit,
     visit_with_partner,
 )
+from pyiceberg.table import TableProperties
 from pyiceberg.table.locations import load_location_provider
 from pyiceberg.table.metadata import TableMetadata
 from pyiceberg.table.name_mapping import NameMapping, apply_name_mapping
 from pyiceberg.table.puffin import PuffinFile
 from pyiceberg.transforms import IdentityTransform, TruncateTransform
-from pyiceberg.typedef import EMPTY_DICT, Properties, Record
+from pyiceberg.typedef import EMPTY_DICT, Properties, Record, TableVersion
 from pyiceberg.types import (
     BinaryType,
     BooleanType,
@@ -501,6 +504,7 @@ def _initialize_s3_fs(self, netloc: Optional[str]) -> FileSystem:
         return S3FileSystem(**client_kwargs)
 
     def _initialize_azure_fs(self) -> FileSystem:
+        # https://arrow.apache.org/docs/python/generated/pyarrow.fs.AzureFileSystem.html
         from packaging import version
 
         MIN_PYARROW_VERSION_SUPPORTING_AZURE_FS = "20.0.0"
@@ -535,6 +539,24 @@ def _initialize_azure_fs(self) -> FileSystem:
         if sas_token := self.properties.get(ADLS_SAS_TOKEN):
             client_kwargs["sas_token"] = sas_token
 
+        if client_id := self.properties.get(ADLS_CLIENT_ID):
+            client_kwargs["client_id"] = client_id
+        if client_secret := self.properties.get(ADLS_CLIENT_SECRET):
+            client_kwargs["client_secret"] = client_secret
+        if tenant_id := self.properties.get(ADLS_TENANT_ID):
+            client_kwargs["tenant_id"] = tenant_id
+
+        # Validate that all three are provided together for ClientSecretCredential
+        credential_keys = ["client_id", "client_secret", "tenant_id"]
+        provided_keys = [key for key in credential_keys if key in client_kwargs]
+        if provided_keys and len(provided_keys) != len(credential_keys):
+            missing_keys = [key for key in credential_keys if key not in client_kwargs]
+            raise ValueError(
+                f"client_id, client_secret, and tenant_id must all be provided together "
+                f"to use ClientSecretCredential for Azure authentication. "
+                f"Provided: {provided_keys}, Missing: {missing_keys}"
+            )
+
         return AzureFileSystem(**client_kwargs)
 
     def _initialize_hdfs_fs(self, scheme: str, netloc: Optional[str]) -> FileSystem:
@@ -1018,13 +1040,20 @@ def _combine_positional_deletes(positional_deletes: List[pa.ChunkedArray], start
 
 
 def pyarrow_to_schema(
-    schema: pa.Schema, name_mapping: Optional[NameMapping] = None, downcast_ns_timestamp_to_us: bool = False
+    schema: pa.Schema,
+    name_mapping: Optional[NameMapping] = None,
+    downcast_ns_timestamp_to_us: bool = False,
+    format_version: TableVersion = TableProperties.DEFAULT_FORMAT_VERSION,
 ) -> Schema:
     has_ids = visit_pyarrow(schema, _HasIds())
     if has_ids:
-        return visit_pyarrow(schema, _ConvertToIceberg(downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us))
+        return visit_pyarrow(
+            schema, _ConvertToIceberg(downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us, format_version=format_version)
+        )
     elif name_mapping is not None:
-        schema_without_ids = _pyarrow_to_schema_without_ids(schema, downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us)
+        schema_without_ids = _pyarrow_to_schema_without_ids(
+            schema, downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us, format_version=format_version
+        )
         return apply_name_mapping(schema_without_ids, name_mapping)
     else:
         raise ValueError(
@@ -1032,8 +1061,15 @@ def pyarrow_to_schema(
         )
 
 
-def _pyarrow_to_schema_without_ids(schema: pa.Schema, downcast_ns_timestamp_to_us: bool = False) -> Schema:
-    return visit_pyarrow(schema, _ConvertToIcebergWithoutIDs(downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us))
+def _pyarrow_to_schema_without_ids(
+    schema: pa.Schema,
+    downcast_ns_timestamp_to_us: bool = False,
+    format_version: TableVersion = TableProperties.DEFAULT_FORMAT_VERSION,
+) -> Schema:
+    return visit_pyarrow(
+        schema,
+        _ConvertToIcebergWithoutIDs(downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us, format_version=format_version),
+    )
 
 
 def _pyarrow_schema_ensure_large_types(schema: pa.Schema) -> pa.Schema:
@@ -1215,9 +1251,12 @@ class _ConvertToIceberg(PyArrowSchemaVisitor[Union[IcebergType, Schema]]):
 
     _field_names: List[str]
 
-    def __init__(self, downcast_ns_timestamp_to_us: bool = False) -> None:
+    def __init__(
+        self, downcast_ns_timestamp_to_us: bool = False, format_version: TableVersion = TableProperties.DEFAULT_FORMAT_VERSION
+    ) -> None:  # noqa: F821
         self._field_names = []
         self._downcast_ns_timestamp_to_us = downcast_ns_timestamp_to_us
+        self._format_version = format_version
 
     def _field_id(self, field: pa.Field) -> int:
         if (field_id := _get_field_id(field)) is not None:
@@ -1288,6 +1327,11 @@ def primitive(self, primitive: pa.DataType) -> PrimitiveType:
             elif primitive.unit == "ns":
                 if self._downcast_ns_timestamp_to_us:
                     logger.warning("Iceberg does not yet support 'ns' timestamp precision. Downcasting to 'us'.")
+                elif self._format_version >= 3:
+                    if primitive.tz in UTC_ALIASES:
+                        return TimestamptzNanoType()
+                    else:
+                        return TimestampNanoType()
                 else:
                     raise TypeError(
                         "Iceberg does not yet support 'ns' timestamp precision. Use 'downcast-ns-timestamp-to-us-on-write' configuration property to automatically downcast 'ns' to 'us' on write.",
@@ -1402,41 +1446,23 @@ def _field_id(self, field: pa.Field) -> int:
 
 def _get_column_projection_values(
     file: DataFile, projected_schema: Schema, partition_spec: Optional[PartitionSpec], file_project_field_ids: Set[int]
-) -> Tuple[bool, Dict[str, Any]]:
+) -> Dict[int, Any]:
     """Apply Column Projection rules to File Schema."""
     project_schema_diff = projected_schema.field_ids.difference(file_project_field_ids)
-    should_project_columns = len(project_schema_diff) > 0
-    projected_missing_fields: Dict[str, Any] = {}
-
-    if not should_project_columns:
-        return False, {}
+    if len(project_schema_diff) == 0 or partition_spec is None:
+        return EMPTY_DICT
 
-    partition_schema: StructType
-    accessors: Dict[int, Accessor]
-
-    if partition_spec is not None:
-        partition_schema = partition_spec.partition_type(projected_schema)
-        accessors = build_position_accessors(partition_schema)
-    else:
-        return False, {}
+    partition_schema = partition_spec.partition_type(projected_schema)
+    accessors = build_position_accessors(partition_schema)
 
+    projected_missing_fields = {}
     for field_id in project_schema_diff:
         for partition_field in partition_spec.fields_by_source_id(field_id):
             if isinstance(partition_field.transform, IdentityTransform):
-                accessor = accessors.get(partition_field.field_id)
-
-                if accessor is None:
-                    continue
+                if partition_value := accessors[partition_field.field_id].get(file.partition):
+                    projected_missing_fields[field_id] = partition_value
 
-                # The partition field may not exist in the partition record of the data file.
-                # This can happen when new partition fields are introduced after the file was written.
-                try:
-                    if partition_value := accessor.get(file.partition):
-                        projected_missing_fields[partition_field.name] = partition_value
-                except IndexError:
-                    continue
-
-    return True, projected_missing_fields
+    return projected_missing_fields
 
 
 def _task_to_record_batches(
@@ -1460,18 +1486,19 @@ def _task_to_record_batches(
         # the table format version.
         file_schema = pyarrow_to_schema(physical_schema, name_mapping, downcast_ns_timestamp_to_us=True)
 
+        # Apply column projection rules: https://iceberg.apache.org/spec/#column-projection
+        projected_missing_fields = _get_column_projection_values(
+            task.file, projected_schema, partition_spec, file_schema.field_ids
+        )
+
         pyarrow_filter = None
         if bound_row_filter is not AlwaysTrue():
-            translated_row_filter = translate_column_names(bound_row_filter, file_schema, case_sensitive=case_sensitive)
+            translated_row_filter = translate_column_names(
+                bound_row_filter, file_schema, case_sensitive=case_sensitive, projected_field_values=projected_missing_fields
+            )
             bound_file_filter = bind(file_schema, translated_row_filter, case_sensitive=case_sensitive)
             pyarrow_filter = expression_to_pyarrow(bound_file_filter)
 
-        # Apply column projection rules
-        # https://iceberg.apache.org/spec/#column-projection
-        should_project_columns, projected_missing_fields = _get_column_projection_values(
-            task.file, projected_schema, partition_spec, file_schema.field_ids
-        )
-
         file_project_schema = prune_columns(file_schema, projected_field_ids, select_full_types=False)
 
         fragment_scanner = ds.Scanner.from_fragment(
@@ -1510,23 +1537,14 @@ def _task_to_record_batches(
 
                 current_batch = table.combine_chunks().to_batches()[0]
 
-            result_batch = _to_requested_schema(
+            yield _to_requested_schema(
                 projected_schema,
                 file_project_schema,
                 current_batch,
                 downcast_ns_timestamp_to_us=True,
+                projected_missing_fields=projected_missing_fields,
             )
 
-            # Inject projected column values if available
-            if should_project_columns:
-                for name, value in projected_missing_fields.items():
-                    index = result_batch.schema.get_field_index(name)
-                    if index != -1:
-                        arr = pa.repeat(value, result_batch.num_rows)
-                        result_batch = result_batch.set_column(index, name, arr)
-
-            yield result_batch
-
 
 def _read_all_delete_files(io: FileIO, tasks: Iterable[FileScanTask]) -> Dict[str, List[ChunkedArray]]:
     deletes_per_file: Dict[str, List[ChunkedArray]] = {}
@@ -1694,7 +1712,7 @@ def _record_batches_from_scan_tasks_and_deletes(
                 deletes_per_file.get(task.file.file_path),
                 self._case_sensitive,
                 self._table_metadata.name_mapping(),
-                self._table_metadata.spec(),
+                self._table_metadata.specs().get(task.file.spec_id),
             )
             for batch in batches:
                 if self._limit is not None:
@@ -1712,12 +1730,15 @@ def _to_requested_schema(
     batch: pa.RecordBatch,
     downcast_ns_timestamp_to_us: bool = False,
     include_field_ids: bool = False,
+    projected_missing_fields: Dict[int, Any] = EMPTY_DICT,
 ) -> pa.RecordBatch:
     # We could reuse some of these visitors
     struct_array = visit_with_partner(
         requested_schema,
         batch,
-        ArrowProjectionVisitor(file_schema, downcast_ns_timestamp_to_us, include_field_ids),
+        ArrowProjectionVisitor(
+            file_schema, downcast_ns_timestamp_to_us, include_field_ids, projected_missing_fields=projected_missing_fields
+        ),
         ArrowAccessor(file_schema),
     )
     return pa.RecordBatch.from_struct_array(struct_array)
@@ -1728,6 +1749,7 @@ class ArrowProjectionVisitor(SchemaWithPartnerVisitor[pa.Array, Optional[pa.Arra
     _include_field_ids: bool
     _downcast_ns_timestamp_to_us: bool
     _use_large_types: Optional[bool]
+    _projected_missing_fields: Dict[int, Any]
 
     def __init__(
         self,
@@ -1735,11 +1757,13 @@ def __init__(
         downcast_ns_timestamp_to_us: bool = False,
         include_field_ids: bool = False,
         use_large_types: Optional[bool] = None,
+        projected_missing_fields: Dict[int, Any] = EMPTY_DICT,
     ) -> None:
         self._file_schema = file_schema
         self._include_field_ids = include_field_ids
         self._downcast_ns_timestamp_to_us = downcast_ns_timestamp_to_us
         self._use_large_types = use_large_types
+        self._projected_missing_fields = projected_missing_fields
 
         if use_large_types is not None:
             deprecation_message(
@@ -1819,10 +1843,12 @@ def struct(
             elif field.optional or field.initial_default is not None:
                 # When an optional field is added, or when a required field with a non-null initial default is added
                 arrow_type = schema_to_pyarrow(field.field_type, include_field_ids=self._include_field_ids)
-                if field.initial_default is None:
+                if projected_value := self._projected_missing_fields.get(field.field_id):
+                    field_arrays.append(pa.repeat(pa.scalar(projected_value, type=arrow_type), len(struct_array)))
+                elif field.initial_default is None:
                     field_arrays.append(pa.nulls(len(struct_array), type=arrow_type))
                 else:
-                    field_arrays.append(pa.repeat(field.initial_default, len(struct_array)))
+                    field_arrays.append(pa.repeat(pa.scalar(field.initial_default, type=arrow_type), len(struct_array)))
                 fields.append(self._construct_field(field, arrow_type))
             else:
                 raise ResolveError(f"Field is required, and could not be found in the file: {field}")
@@ -2538,7 +2564,10 @@ def bin_pack_arrow_table(tbl: pa.Table, target_file_size: int) -> Iterator[List[
 
 
 def _check_pyarrow_schema_compatible(
-    requested_schema: Schema, provided_schema: pa.Schema, downcast_ns_timestamp_to_us: bool = False
+    requested_schema: Schema,
+    provided_schema: pa.Schema,
+    downcast_ns_timestamp_to_us: bool = False,
+    format_version: TableVersion = TableProperties.DEFAULT_FORMAT_VERSION,
 ) -> None:
     """
     Check if the `requested_schema` is compatible with `provided_schema`.
@@ -2551,10 +2580,15 @@ def _check_pyarrow_schema_compatible(
     name_mapping = requested_schema.name_mapping
     try:
         provided_schema = pyarrow_to_schema(
-            provided_schema, name_mapping=name_mapping, downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us
+            provided_schema,
+            name_mapping=name_mapping,
+            downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us,
+            format_version=format_version,
         )
     except ValueError as e:
-        provided_schema = _pyarrow_to_schema_without_ids(provided_schema, downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us)
+        provided_schema = _pyarrow_to_schema_without_ids(
+            provided_schema, downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us, format_version=format_version
+        )
         additional_names = set(provided_schema._name_to_id.keys()) - set(requested_schema._name_to_id.keys())
         raise ValueError(
             f"PyArrow table contains more columns: {', '.join(sorted(additional_names))}. Update the schema first (hint, use union_by_name)."
@@ -2580,7 +2614,7 @@ def parquet_file_to_data_file(io: FileIO, table_metadata: TableMetadata, file_pa
         )
 
     schema = table_metadata.schema()
-    _check_pyarrow_schema_compatible(schema, arrow_schema)
+    _check_pyarrow_schema_compatible(schema, arrow_schema, format_version=table_metadata.format_version)
 
     statistics = data_file_statistics_from_parquet_metadata(
         parquet_metadata=parquet_metadata,
@@ -2671,7 +2705,12 @@ def _dataframe_to_data_files(
     )
     name_mapping = table_metadata.schema().name_mapping
     downcast_ns_timestamp_to_us = Config().get_bool(DOWNCAST_NS_TIMESTAMP_TO_US_ON_WRITE) or False
-    task_schema = pyarrow_to_schema(df.schema, name_mapping=name_mapping, downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us)
+    task_schema = pyarrow_to_schema(
+        df.schema,
+        name_mapping=name_mapping,
+        downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us,
+        format_version=table_metadata.format_version,
+    )
 
     if table_metadata.spec().is_unpartitioned():
         yield from write_file(
diff --git a/pyiceberg/manifest.py b/pyiceberg/manifest.py
index 362e9085df..a92d944811 100644
--- a/pyiceberg/manifest.py
+++ b/pyiceberg/manifest.py
@@ -866,6 +866,14 @@ def fetch_manifest_entry(self, io: FileIO, discard_deleted: bool = True) -> List
                 if not discard_deleted or entry.status != ManifestEntryStatus.DELETED
             ]
 
+    def __eq__(self, other: Any) -> bool:
+        """Return the equality of two instances of the ManifestFile class."""
+        return self.manifest_path == other.manifest_path if isinstance(other, ManifestFile) else False
+
+    def __hash__(self) -> int:
+        """Return the hash of manifest_path."""
+        return hash(self.manifest_path)
+
 
 @cached(cache=LRUCache(maxsize=128), key=lambda io, manifest_list: hashkey(manifest_list))
 def _manifests(io: FileIO, manifest_list: str) -> Tuple[ManifestFile, ...]:
diff --git a/pyiceberg/schema.py b/pyiceberg/schema.py
index 6333ace6e2..1eadc58361 100644
--- a/pyiceberg/schema.py
+++ b/pyiceberg/schema.py
@@ -78,6 +78,9 @@
 
 INITIAL_SCHEMA_ID = 0
 
+FIELD_ID_PROP = "field-id"
+ICEBERG_FIELD_NAME_PROP = "iceberg-field-name"
+
 
 class Schema(IcebergBaseModel):
     """A table Schema.
@@ -1356,6 +1359,21 @@ def primitive(self, primitive: PrimitiveType) -> PrimitiveType:
 
 # Implementation copied from Apache Iceberg repo.
 def make_compatible_name(name: str) -> str:
+    """Make a field name compatible with Avro specification.
+
+    This function sanitizes field names to comply with Avro naming rules:
+    - Names must start with [A-Za-z_]
+    - Subsequent characters must be [A-Za-z0-9_]
+
+    Invalid characters are replaced with _xHHHH where HHHH is the hex code.
+    Names starting with digits get a leading underscore.
+
+    Args:
+        name: The original field name
+
+    Returns:
+        A sanitized name that complies with Avro specification
+    """
     if not _valid_avro_name(name):
         return _sanitize_name(name)
     return name
@@ -1391,7 +1409,9 @@ def _sanitize_name(name: str) -> str:
 
 
 def _sanitize_char(character: str) -> str:
-    return "_" + character if character.isdigit() else "_x" + hex(ord(character))[2:].upper()
+    if character.isdigit():
+        return "_" + character
+    return "_x" + hex(ord(character))[2:].upper()
 
 
 def sanitize_column_names(schema: Schema) -> Schema:
diff --git a/pyiceberg/table/__init__.py b/pyiceberg/table/__init__.py
index 6c6da2a9b7..92bbd60358 100644
--- a/pyiceberg/table/__init__.py
+++ b/pyiceberg/table/__init__.py
@@ -80,6 +80,7 @@
 from pyiceberg.schema import Schema
 from pyiceberg.table.inspect import InspectTable
 from pyiceberg.table.locations import LocationProvider, load_location_provider
+from pyiceberg.table.maintenance import MaintenanceTable
 from pyiceberg.table.metadata import (
     INITIAL_SEQUENCE_NUMBER,
     TableMetadata,
@@ -115,7 +116,7 @@
     update_table_metadata,
 )
 from pyiceberg.table.update.schema import UpdateSchema
-from pyiceberg.table.update.snapshot import ExpireSnapshots, ManageSnapshots, UpdateSnapshot, _FastAppendFiles
+from pyiceberg.table.update.snapshot import ManageSnapshots, UpdateSnapshot, _FastAppendFiles
 from pyiceberg.table.update.spec import UpdateSpec
 from pyiceberg.table.update.statistics import UpdateStatistics
 from pyiceberg.transforms import IdentityTransform
@@ -219,7 +220,7 @@ class TableProperties:
 
     DEFAULT_NAME_MAPPING = "schema.name-mapping.default"
     FORMAT_VERSION = "format-version"
-    DEFAULT_FORMAT_VERSION = 2
+    DEFAULT_FORMAT_VERSION: TableVersion = 2
 
     MANIFEST_TARGET_SIZE_BYTES = "commit.manifest.target-size-bytes"
     MANIFEST_TARGET_SIZE_BYTES_DEFAULT = 8 * 1024 * 1024  # 8 MB
@@ -292,8 +293,6 @@ def _apply(self, updates: Tuple[TableUpdate, ...], requirements: Tuple[TableRequ
 
         if self._autocommit:
             self.commit_transaction()
-            self._updates = ()
-            self._requirements = ()
 
         return self
 
@@ -479,7 +478,10 @@ def append(self, df: pa.Table, snapshot_properties: Dict[str, str] = EMPTY_DICT,
             )
         downcast_ns_timestamp_to_us = Config().get_bool(DOWNCAST_NS_TIMESTAMP_TO_US_ON_WRITE) or False
         _check_pyarrow_schema_compatible(
-            self.table_metadata.schema(), provided_schema=df.schema, downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us
+            self.table_metadata.schema(),
+            provided_schema=df.schema,
+            downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us,
+            format_version=self.table_metadata.format_version,
         )
 
         with self._append_snapshot_producer(snapshot_properties, branch=branch) as append_files:
@@ -529,7 +531,10 @@ def dynamic_partition_overwrite(
 
         downcast_ns_timestamp_to_us = Config().get_bool(DOWNCAST_NS_TIMESTAMP_TO_US_ON_WRITE) or False
         _check_pyarrow_schema_compatible(
-            self.table_metadata.schema(), provided_schema=df.schema, downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us
+            self.table_metadata.schema(),
+            provided_schema=df.schema,
+            downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us,
+            format_version=self.table_metadata.format_version,
         )
 
         # If dataframe does not have data, there is no need to overwrite
@@ -595,7 +600,10 @@ def overwrite(
             )
         downcast_ns_timestamp_to_us = Config().get_bool(DOWNCAST_NS_TIMESTAMP_TO_US_ON_WRITE) or False
         _check_pyarrow_schema_compatible(
-            self.table_metadata.schema(), provided_schema=df.schema, downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us
+            self.table_metadata.schema(),
+            provided_schema=df.schema,
+            downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us,
+            format_version=self.table_metadata.format_version,
         )
 
         if overwrite_filter != AlwaysFalse():
@@ -791,7 +799,10 @@ def upsert(
 
         downcast_ns_timestamp_to_us = Config().get_bool(DOWNCAST_NS_TIMESTAMP_TO_US_ON_WRITE) or False
         _check_pyarrow_schema_compatible(
-            self.table_metadata.schema(), provided_schema=df.schema, downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us
+            self.table_metadata.schema(),
+            provided_schema=df.schema,
+            downcast_ns_timestamp_to_us=downcast_ns_timestamp_to_us,
+            format_version=self.table_metadata.format_version,
         )
 
         # get list of rows that exist so we don't have to load the entire target table
@@ -937,13 +948,15 @@ def commit_transaction(self) -> Table:
                 updates=self._updates,
                 requirements=self._requirements,
             )
-            return self._table
-        else:
-            return self._table
+
+        self._updates = ()
+        self._requirements = ()
+
+        return self._table
 
 
 class CreateTableTransaction(Transaction):
-    """A transaction that involves the creation of a a new table."""
+    """A transaction that involves the creation of a new table."""
 
     def _initial_changes(self, table_metadata: TableMetadata) -> None:
         """Set the initial changes that can reconstruct the initial table metadata when creating the CreateTableTransaction."""
@@ -988,11 +1001,15 @@ def commit_transaction(self) -> Table:
         Returns:
             The table with the updates applied.
         """
-        self._requirements = (AssertCreate(),)
-        self._table._do_commit(  # pylint: disable=W0212
-            updates=self._updates,
-            requirements=self._requirements,
-        )
+        if len(self._updates) > 0:
+            self._table._do_commit(  # pylint: disable=W0212
+                updates=self._updates,
+                requirements=(AssertCreate(),),
+            )
+
+        self._updates = ()
+        self._requirements = ()
+
         return self._table
 
 
@@ -1070,6 +1087,15 @@ def inspect(self) -> InspectTable:
         """
         return InspectTable(self)
 
+    @property
+    def maintenance(self) -> MaintenanceTable:
+        """Return the MaintenanceTable object for maintenance.
+
+        Returns:
+            MaintenanceTable object based on this Table.
+        """
+        return MaintenanceTable(self)
+
     def refresh(self) -> Table:
         """Refresh the current table metadata.
 
@@ -1242,10 +1268,6 @@ def manage_snapshots(self) -> ManageSnapshots:
         """
         return ManageSnapshots(transaction=Transaction(self, autocommit=True))
 
-    def expire_snapshots(self) -> ExpireSnapshots:
-        """Shorthand to run expire snapshots by id or by a timestamp."""
-        return ExpireSnapshots(transaction=Transaction(self, autocommit=True))
-
     def update_statistics(self) -> UpdateStatistics:
         """
         Shorthand to run statistics management operations like add statistics and remove statistics.
@@ -2092,14 +2114,6 @@ def generate_data_file_filename(self, extension: str) -> str:
         return f"00000-{self.task_id}-{self.write_uuid}.{extension}"
 
 
-@dataclass(frozen=True)
-class AddFileTask:
-    """Task with the parameters for adding a Parquet file as a DataFile."""
-
-    file_path: str
-    partition_field_value: Record
-
-
 def _parquet_files_to_data_files(table_metadata: TableMetadata, file_paths: List[str], io: FileIO) -> Iterable[DataFile]:
     """Convert a list files into DataFiles.
 
diff --git a/pyiceberg/table/maintenance.py b/pyiceberg/table/maintenance.py
new file mode 100644
index 0000000000..0fcda35ae9
--- /dev/null
+++ b/pyiceberg/table/maintenance.py
@@ -0,0 +1,45 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+from __future__ import annotations
+
+import logging
+from typing import TYPE_CHECKING
+
+logger = logging.getLogger(__name__)
+
+
+if TYPE_CHECKING:
+    from pyiceberg.table import Table
+    from pyiceberg.table.update.snapshot import ExpireSnapshots
+
+
+class MaintenanceTable:
+    tbl: Table
+
+    def __init__(self, tbl: Table) -> None:
+        self.tbl = tbl
+
+    def expire_snapshots(self) -> ExpireSnapshots:
+        """Return an ExpireSnapshots builder for snapshot expiration operations.
+
+        Returns:
+            ExpireSnapshots builder for configuring and executing snapshot expiration.
+        """
+        from pyiceberg.table import Transaction
+        from pyiceberg.table.update.snapshot import ExpireSnapshots
+
+        return ExpireSnapshots(transaction=Transaction(self.tbl, autocommit=True))
diff --git a/pyiceberg/table/update/snapshot.py b/pyiceberg/table/update/snapshot.py
index 3ffb275ded..018f6614c1 100644
--- a/pyiceberg/table/update/snapshot.py
+++ b/pyiceberg/table/update/snapshot.py
@@ -22,6 +22,7 @@
 from abc import abstractmethod
 from collections import defaultdict
 from concurrent.futures import Future
+from datetime import datetime
 from functools import cached_property
 from typing import TYPE_CHECKING, Callable, Dict, Generic, List, Optional, Set, Tuple
 
@@ -82,6 +83,7 @@
 )
 from pyiceberg.utils.bin_packing import ListPacker
 from pyiceberg.utils.concurrent import ExecutorFactory
+from pyiceberg.utils.datetime import datetime_to_millis
 from pyiceberg.utils.properties import property_as_bool, property_as_int
 
 if TYPE_CHECKING:
@@ -907,8 +909,7 @@ def remove_branch(self, branch_name: str) -> ManageSnapshots:
 
 
 class ExpireSnapshots(UpdateTableMetadata["ExpireSnapshots"]):
-    """
-    Expire snapshots by ID.
+    """Expire snapshots by ID.
 
     Use table.expire_snapshots().<operation>().commit() to run a specific operation.
     Use table.expire_snapshots().<operation-one>().<operation-two>().commit() to run multiple operations.
@@ -945,15 +946,13 @@ def _get_protected_snapshot_ids(self) -> Set[int]:
         Returns:
             Set of protected snapshot IDs to exclude from expiration.
         """
-        protected_ids: Set[int] = set()
-
-        for ref in self._transaction.table_metadata.refs.values():
-            if ref.snapshot_ref_type in [SnapshotRefType.TAG, SnapshotRefType.BRANCH]:
-                protected_ids.add(ref.snapshot_id)
-
-        return protected_ids
+        return {
+            ref.snapshot_id
+            for ref in self._transaction.table_metadata.refs.values()
+            if ref.snapshot_ref_type in [SnapshotRefType.TAG, SnapshotRefType.BRANCH]
+        }
 
-    def expire_snapshot_by_id(self, snapshot_id: int) -> ExpireSnapshots:
+    def by_id(self, snapshot_id: int) -> ExpireSnapshots:
         """
         Expire a snapshot by its ID.
 
@@ -974,7 +973,7 @@ def expire_snapshot_by_id(self, snapshot_id: int) -> ExpireSnapshots:
 
         return self
 
-    def expire_snapshots_by_ids(self, snapshot_ids: List[int]) -> "ExpireSnapshots":
+    def by_ids(self, snapshot_ids: List[int]) -> "ExpireSnapshots":
         """
         Expire multiple snapshots by their IDs.
 
@@ -986,21 +985,22 @@ def expire_snapshots_by_ids(self, snapshot_ids: List[int]) -> "ExpireSnapshots":
             This for method chaining.
         """
         for snapshot_id in snapshot_ids:
-            self.expire_snapshot_by_id(snapshot_id)
+            self.by_id(snapshot_id)
         return self
 
-    def expire_snapshots_older_than(self, timestamp_ms: int) -> "ExpireSnapshots":
+    def older_than(self, dt: datetime) -> "ExpireSnapshots":
         """
         Expire all unprotected snapshots with a timestamp older than a given value.
 
         Args:
-            timestamp_ms (int): Only snapshots with timestamp_ms < this value will be expired.
+            dt (datetime): Only snapshots with datetime < this value will be expired.
 
         Returns:
             This for method chaining.
         """
         protected_ids = self._get_protected_snapshot_ids()
+        expire_from = datetime_to_millis(dt)
         for snapshot in self._transaction.table_metadata.snapshots:
-            if snapshot.timestamp_ms < timestamp_ms and snapshot.snapshot_id not in protected_ids:
+            if snapshot.timestamp_ms < expire_from and snapshot.snapshot_id not in protected_ids:
                 self._snapshot_ids_to_expire.add(snapshot.snapshot_id)
         return self
diff --git a/pyiceberg/types.py b/pyiceberg/types.py
index 5822597952..6872663f84 100644
--- a/pyiceberg/types.py
+++ b/pyiceberg/types.py
@@ -340,8 +340,8 @@ class NestedField(IcebergType):
     field_type: SerializeAsAny[IcebergType] = Field(alias="type")
     required: bool = Field(default=False)
     doc: Optional[str] = Field(default=None, repr=False)
-    initial_default: Optional[DefaultValue] = Field(alias="initial-default", default=None, repr=False)  # type: ignore
-    write_default: Optional[DefaultValue] = Field(alias="write-default", default=None, repr=False)  # type: ignore
+    initial_default: Optional[DefaultValue] = Field(alias="initial-default", default=None, repr=True)  # type: ignore
+    write_default: Optional[DefaultValue] = Field(alias="write-default", default=None, repr=True)  # type: ignore
 
     @field_validator("field_type", mode="before")
     def convert_field_type(cls, v: Any) -> IcebergType:
@@ -401,6 +401,21 @@ def __str__(self) -> str:
         req = "required" if self.required else "optional"
         return f"{self.field_id}: {self.name}: {req} {self.field_type}{doc}"
 
+    def __repr__(self) -> str:
+        """Return the string representation of the NestedField class."""
+        parts = [
+            f"field_id={self.field_id}",
+            f"name={self.name!r}",
+            f"field_type={self.field_type!r}",
+            f"required={self.required}",
+        ]
+        if self.initial_default is not None:
+            parts.append(f"initial_default={self.initial_default!r}")
+        if self.write_default is not None:
+            parts.append(f"write_default={self.write_default!r}")
+
+        return f"NestedField({', '.join(parts)})"
+
     def __getnewargs__(self) -> Tuple[int, str, IcebergType, bool, Optional[str]]:
         """Pickle the NestedField class."""
         return (self.field_id, self.name, self.field_type, self.required, self.doc)
diff --git a/pyiceberg/utils/schema_conversion.py b/pyiceberg/utils/schema_conversion.py
index 232b8f0094..551fa40156 100644
--- a/pyiceberg/utils/schema_conversion.py
+++ b/pyiceberg/utils/schema_conversion.py
@@ -26,7 +26,14 @@
     Union,
 )
 
-from pyiceberg.schema import Schema, SchemaVisitorPerPrimitiveType, visit
+from pyiceberg.schema import (
+    FIELD_ID_PROP,
+    ICEBERG_FIELD_NAME_PROP,
+    Schema,
+    SchemaVisitorPerPrimitiveType,
+    make_compatible_name,
+    visit,
+)
 from pyiceberg.types import (
     BinaryType,
     BooleanType,
@@ -225,13 +232,13 @@ def _convert_field(self, field: Dict[str, Any]) -> NestedField:
         Returns:
             The Iceberg equivalent field.
         """
-        if "field-id" not in field:
-            raise ValueError(f"Cannot convert field, missing field-id: {field}")
+        if FIELD_ID_PROP not in field:
+            raise ValueError(f"Cannot convert field, missing {FIELD_ID_PROP}: {field}")
 
         plain_type, required = self._resolve_union(field["type"])
 
         return NestedField(
-            field_id=field["field-id"],
+            field_id=field[FIELD_ID_PROP],
             name=field["name"],
             field_type=self._convert_schema(plain_type),
             required=required,
@@ -524,12 +531,18 @@ def field(self, field: NestedField, field_result: AvroType) -> AvroType:
         if isinstance(field_result, dict) and field_result.get("type") == "record":
             field_result["name"] = f"r{field.field_id}"
 
+        original_name = field.name
+        sanitized_name = make_compatible_name(original_name)
+
         result = {
-            "name": field.name,
-            "field-id": field.field_id,
+            "name": sanitized_name,
+            FIELD_ID_PROP: field.field_id,
             "type": field_result if field.required else ["null", field_result],
         }
 
+        if original_name != sanitized_name:
+            result[ICEBERG_FIELD_NAME_PROP] = original_name
+
         if field.write_default is not None:
             result["default"] = field.write_default
         elif field.optional:
@@ -564,8 +577,8 @@ def map(self, map_type: MapType, key_result: AvroType, value_result: AvroType) -
                     "type": "record",
                     "name": f"k{self.last_map_key_field_id}_v{self.last_map_value_field_id}",
                     "fields": [
-                        {"name": "key", "type": key_result, "field-id": self.last_map_key_field_id},
-                        {"name": "value", "type": value_result, "field-id": self.last_map_value_field_id},
+                        {"name": "key", "type": key_result, FIELD_ID_PROP: self.last_map_key_field_id},
+                        {"name": "value", "type": value_result, FIELD_ID_PROP: self.last_map_value_field_id},
                     ],
                 },
                 "logicalType": "map",
diff --git a/pyproject.toml b/pyproject.toml
index da43b4217b..e642f2888b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -63,6 +63,7 @@ zstandard = ">=0.13.0,<1.0.0"
 tenacity = ">=8.2.3,<10.0.0"
 pyroaring = ">=1.0.0,<2.0.0"
 pyarrow = { version = ">=17.0.0", optional = true }
+google-auth = { version = ">=2.4.0", optional = true }
 pandas = { version = ">=1.0.0,<3.0.0", optional = true }
 duckdb = { version = ">=0.5.0,<2.0.0", optional = true }
 ray = [
@@ -81,7 +82,7 @@ sqlalchemy = { version = "^2.0.18", optional = true }
 bodo = { version = ">=2025.7.4", optional = true }
 daft = { version = ">=0.5.0", optional = true }
 cachetools = ">=5.5,<7.0"
-pyiceberg-core = { version = "^0.5.1", optional = true }
+pyiceberg-core = { version = ">=0.5.1,<0.7.0", optional = true }
 polars = { version = "^1.21.0", optional = true }
 thrift-sasl = { version = ">=0.4.3", optional = true }
 kerberos = {version = "^1.3.1", optional = true}
@@ -91,8 +92,8 @@ datafusion = { version = ">=45", optional = true }
 pytest = "7.4.4"
 pytest-checkdocs = "2.13.0"
 pytest-lazy-fixture = "0.6.3"
-pre-commit = "4.2.0"
-fastavro = "1.11.1"
+pre-commit = "4.3.0"
+fastavro = "1.12.0"
 coverage = { version = "^7.4.2", extras = ["toml"] }
 requests-mock = "1.12.1"
 moto = { version = "^5.0.2", extras = ["server"] }
@@ -108,14 +109,14 @@ mypy-boto3-dynamodb = ">=1.28.18"
 [tool.poetry.group.docs.dependencies]
 # for mkdocs
 mkdocs = "1.6.1"
-griffe = "1.7.3"
+griffe = "1.11.1"
 jinja2 = "3.1.6"
-mkdocstrings = "0.29.1"
+mkdocstrings = "0.30.0"
 mkdocstrings-python = "1.16.12"
 mkdocs-literate-nav = "0.6.2"
 mkdocs-autorefs = "1.4.2"
 mkdocs-gen-files = "0.5.0"
-mkdocs-material = "9.6.15"
+mkdocs-material = "9.6.16"
 mkdocs-material-extensions = "1.3.1"
 mkdocs-section-index = "0.3.10"
 
@@ -127,6 +128,10 @@ ignore_missing_imports = true
 module = "pyarrow.*"
 ignore_missing_imports = true
 
+[[tool.mypy.overrides]]
+module = "google.*"
+ignore_missing_imports = true
+
 [[tool.mypy.overrides]]
 module = "pandas.*"
 ignore_missing_imports = true
@@ -317,6 +322,7 @@ rest-sigv4 = ["boto3"]
 hf = ["huggingface-hub"]
 pyiceberg-core = ["pyiceberg-core"]
 datafusion = ["datafusion"]
+gcp-auth = ["google-auth"]
 
 [tool.pytest.ini_options]
 testpaths = ["tests"]
diff --git a/tests/catalog/test_rest.py b/tests/catalog/test_rest.py
index f60231ac30..dcabd0a2ea 100644
--- a/tests/catalog/test_rest.py
+++ b/tests/catalog/test_rest.py
@@ -1748,3 +1748,42 @@ def test_drop_view_204(rest_mock: Mocker) -> None:
         request_headers=TEST_HEADERS,
     )
     RestCatalog("rest", uri=TEST_URI, token=TEST_TOKEN).drop_view(("some_namespace", "some_view"))
+
+
+@mock.patch("google.auth.transport.requests.Request")
+@mock.patch("google.auth.load_credentials_from_file")
+def test_rest_catalog_with_google_credentials_path(
+    mock_load_creds: mock.MagicMock, mock_google_request: mock.MagicMock, rest_mock: Mocker
+) -> None:
+    mock_credentials = mock.MagicMock()
+    mock_credentials.token = "file_token"
+    mock_load_creds.return_value = (mock_credentials, "test_project_file")
+
+    # Given
+    rest_mock.get(
+        f"{TEST_URI}v1/config",
+        json={"defaults": {}, "overrides": {}},
+        status_code=200,
+    )
+    # Given
+    catalog_properties = {
+        "uri": TEST_URI,
+        "auth": {
+            "type": "google",
+            "google": {
+                "credentials_path": "/fake/path.json",
+            },
+        },
+    }
+    catalog = RestCatalog("rest", **catalog_properties)  # type: ignore
+    assert catalog.uri == TEST_URI
+
+    expected_auth_header = "Bearer file_token"
+    assert rest_mock.last_request.headers["Authorization"] == expected_auth_header
+
+    mock_load_creds.assert_called_with("/fake/path.json", scopes=None)
+    mock_credentials.refresh.assert_called_once_with(mock_google_request.return_value)
+    history = rest_mock.request_history
+    assert len(history) == 1
+    actual_headers = history[0].headers
+    assert actual_headers["Authorization"] == expected_auth_header
diff --git a/tests/catalog/test_rest_auth.py b/tests/catalog/test_rest_auth.py
index 3d3d4a807d..2ef02ed005 100644
--- a/tests/catalog/test_rest_auth.py
+++ b/tests/catalog/test_rest_auth.py
@@ -16,14 +16,16 @@
 #  under the License.
 
 import base64
+from unittest.mock import MagicMock, patch
 
 import pytest
 import requests
 from requests_mock import Mocker
 
-from pyiceberg.catalog.rest.auth import AuthManagerAdapter, BasicAuthManager, NoopAuthManager
+from pyiceberg.catalog.rest.auth import AuthManagerAdapter, BasicAuthManager, GoogleAuthManager, NoopAuthManager
 
 TEST_URI = "https://iceberg-test-catalog/"
+GOOGLE_CREDS_URI = "https://oauth2.googleapis.com/token"
 
 
 @pytest.fixture
@@ -36,6 +38,17 @@ def rest_mock(requests_mock: Mocker) -> Mocker:
     return requests_mock
 
 
+@pytest.fixture
+def google_mock(requests_mock: Mocker) -> Mocker:
+    requests_mock.post(GOOGLE_CREDS_URI, json={"access_token": "aaaabbb"}, status_code=200)
+    requests_mock.get(
+        TEST_URI,
+        json={},
+        status_code=200,
+    )
+    return requests_mock
+
+
 def test_noop_auth_header(rest_mock: Mocker) -> None:
     auth_manager = NoopAuthManager()
     session = requests.Session()
@@ -63,3 +76,80 @@ def test_basic_auth_header(rest_mock: Mocker) -> None:
     assert len(history) == 1
     actual_headers = history[0].headers
     assert actual_headers["Authorization"] == expected_header
+
+
+@patch("google.auth.transport.requests.Request")
+@patch("google.auth.default")
+def test_google_auth_manager_default_credentials(
+    mock_google_auth_default: MagicMock, mock_google_request: MagicMock, rest_mock: Mocker
+) -> None:
+    """Test GoogleAuthManager with default application credentials."""
+    mock_credentials = MagicMock()
+    mock_credentials.token = "test_token"
+    mock_google_auth_default.return_value = (mock_credentials, "test_project")
+
+    auth_manager = GoogleAuthManager()
+    session = requests.Session()
+    session.auth = AuthManagerAdapter(auth_manager)
+    session.get(TEST_URI)
+
+    mock_google_auth_default.assert_called_once_with(scopes=None)
+    mock_credentials.refresh.assert_called_once_with(mock_google_request.return_value)
+    history = rest_mock.request_history
+    assert len(history) == 1
+    actual_headers = history[0].headers
+    assert actual_headers["Authorization"] == "Bearer test_token"
+
+
+@patch("google.auth.transport.requests.Request")
+@patch("google.auth.load_credentials_from_file")
+def test_google_auth_manager_with_credentials_file(
+    mock_load_creds: MagicMock, mock_google_request: MagicMock, rest_mock: Mocker
+) -> None:
+    """Test GoogleAuthManager with a credentials file path."""
+    mock_credentials = MagicMock()
+    mock_credentials.token = "file_token"
+    mock_load_creds.return_value = (mock_credentials, "test_project_file")
+
+    auth_manager = GoogleAuthManager(credentials_path="/fake/path.json")
+    session = requests.Session()
+    session.auth = AuthManagerAdapter(auth_manager)
+    session.get(TEST_URI)
+
+    mock_load_creds.assert_called_once_with("/fake/path.json", scopes=None)
+    mock_credentials.refresh.assert_called_once_with(mock_google_request.return_value)
+    history = rest_mock.request_history
+    assert len(history) == 1
+    actual_headers = history[0].headers
+    assert actual_headers["Authorization"] == "Bearer file_token"
+
+
+@patch("google.auth.transport.requests.Request")
+@patch("google.auth.load_credentials_from_file")
+def test_google_auth_manager_with_credentials_file_and_scopes(
+    mock_load_creds: MagicMock, mock_google_request: MagicMock, rest_mock: Mocker
+) -> None:
+    """Test GoogleAuthManager with a credentials file path and scopes."""
+    mock_credentials = MagicMock()
+    mock_credentials.token = "scoped_token"
+    mock_load_creds.return_value = (mock_credentials, "test_project_scoped")
+    scopes = ["https://www.googleapis.com/auth/bigquery"]
+
+    auth_manager = GoogleAuthManager(credentials_path="/fake/path.json", scopes=scopes)
+    session = requests.Session()
+    session.auth = AuthManagerAdapter(auth_manager)
+    session.get(TEST_URI)
+
+    mock_load_creds.assert_called_once_with("/fake/path.json", scopes=scopes)
+    mock_credentials.refresh.assert_called_once_with(mock_google_request.return_value)
+    history = rest_mock.request_history
+    assert len(history) == 1
+    actual_headers = history[0].headers
+    assert actual_headers["Authorization"] == "Bearer scoped_token"
+
+
+def test_google_auth_manager_import_error() -> None:
+    """Test GoogleAuthManager raises ImportError if google-auth is not installed."""
+    with patch.dict("sys.modules", {"google.auth": None, "google.auth.transport.requests": None}):
+        with pytest.raises(ImportError, match="Google Auth libraries not found. Please install 'google-auth'."):
+            GoogleAuthManager()
diff --git a/tests/conftest.py b/tests/conftest.py
index 584b6c633a..e036a2fa54 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -47,6 +47,7 @@
 import boto3
 import pytest
 from moto import mock_aws
+from pydantic_core import to_json
 
 from pyiceberg.catalog import Catalog, load_catalog
 from pyiceberg.catalog.noop import NoopCatalog
@@ -67,10 +68,12 @@
 )
 from pyiceberg.io.fsspec import FsspecFileIO
 from pyiceberg.manifest import DataFile, FileFormat
+from pyiceberg.partitioning import PartitionField, PartitionSpec
 from pyiceberg.schema import Accessor, Schema
 from pyiceberg.serializers import ToOutputFile
 from pyiceberg.table import FileScanTask, Table
 from pyiceberg.table.metadata import TableMetadataV1, TableMetadataV2
+from pyiceberg.transforms import DayTransform, IdentityTransform
 from pyiceberg.types import (
     BinaryType,
     BooleanType,
@@ -1255,8 +1258,8 @@ def metadata_location_gz(tmp_path_factory: pytest.TempPathFactory) -> str:
                 {"key": 15, "value": 0},
             ],
             "lower_bounds": [
-                {"key": 2, "value": b"2020-04-01 00:00"},
-                {"key": 3, "value": b"2020-04-01 00:12"},
+                {"key": 2, "value": b"\x01\x00\x00\x00\x00\x00\x00\x00"},
+                {"key": 3, "value": b"\x01\x00\x00\x00\x00\x00\x00\x00"},
                 {"key": 7, "value": b"\x03\x00\x00\x00"},
                 {"key": 8, "value": b"\x01\x00\x00\x00"},
                 {"key": 10, "value": b"\xf6(\\\x8f\xc2\x05S\xc0"},
@@ -1270,8 +1273,8 @@ def metadata_location_gz(tmp_path_factory: pytest.TempPathFactory) -> str:
                 {"key": 19, "value": b"\x00\x00\x00\x00\x00\x00\x04\xc0"},
             ],
             "upper_bounds": [
-                {"key": 2, "value": b"2020-04-30 23:5:"},
-                {"key": 3, "value": b"2020-05-01 00:41"},
+                {"key": 2, "value": b"\x06\x00\x00\x00\x00\x00\x00\x00"},
+                {"key": 3, "value": b"\x06\x00\x00\x00\x00\x00\x00\x00"},
                 {"key": 7, "value": b"\t\x01\x00\x00"},
                 {"key": 8, "value": b"\t\x01\x00\x00"},
                 {"key": 10, "value": b"\xcd\xcc\xcc\xcc\xcc,_@"},
@@ -1376,8 +1379,8 @@ def metadata_location_gz(tmp_path_factory: pytest.TempPathFactory) -> str:
             ],
             "lower_bounds": [
                 {"key": 1, "value": b"\x01\x00\x00\x00"},
-                {"key": 2, "value": b"2020-04-01 00:00"},
-                {"key": 3, "value": b"2020-04-01 00:03"},
+                {"key": 2, "value": b"\x01\x00\x00\x00\x00\x00\x00\x00"},
+                {"key": 3, "value": b"\x01\x00\x00\x00\x00\x00\x00\x00"},
                 {"key": 4, "value": b"\x00\x00\x00\x00"},
                 {"key": 5, "value": b"\x01\x00\x00\x00"},
                 {"key": 6, "value": b"N"},
@@ -1396,8 +1399,8 @@ def metadata_location_gz(tmp_path_factory: pytest.TempPathFactory) -> str:
             ],
             "upper_bounds": [
                 {"key": 1, "value": b"\x01\x00\x00\x00"},
-                {"key": 2, "value": b"2020-04-30 23:5:"},
-                {"key": 3, "value": b"2020-05-01 00:1:"},
+                {"key": 2, "value": b"\x06\x00\x00\x00\x00\x00\x00\x00"},
+                {"key": 3, "value": b"\x06\x00\x00\x00\x00\x00\x00\x00"},
                 {"key": 4, "value": b"\x06\x00\x00\x00"},
                 {"key": 5, "value": b"c\x00\x00\x00"},
                 {"key": 6, "value": b"Y"},
@@ -1858,7 +1861,24 @@ def simple_map() -> MapType:
 
 
 @pytest.fixture(scope="session")
-def generated_manifest_entry_file(avro_schema_manifest_entry: Dict[str, Any]) -> Generator[str, None, None]:
+def test_schema() -> Schema:
+    return Schema(
+        NestedField(1, "VendorID", IntegerType(), False), NestedField(2, "tpep_pickup_datetime", TimestampType(), False)
+    )
+
+
+@pytest.fixture(scope="session")
+def test_partition_spec() -> Schema:
+    return PartitionSpec(
+        PartitionField(1, 1000, IdentityTransform(), "VendorID"),
+        PartitionField(2, 1001, DayTransform(), "tpep_pickup_day"),
+    )
+
+
+@pytest.fixture(scope="session")
+def generated_manifest_entry_file(
+    avro_schema_manifest_entry: Dict[str, Any], test_schema: Schema, test_partition_spec: PartitionSpec
+) -> Generator[str, None, None]:
     from fastavro import parse_schema, writer
 
     parsed_schema = parse_schema(avro_schema_manifest_entry)
@@ -1866,7 +1886,15 @@ def generated_manifest_entry_file(avro_schema_manifest_entry: Dict[str, Any]) ->
     with TemporaryDirectory() as tmpdir:
         tmp_avro_file = tmpdir + "/manifest.avro"
         with open(tmp_avro_file, "wb") as out:
-            writer(out, parsed_schema, manifest_entry_records)
+            writer(
+                out,
+                parsed_schema,
+                manifest_entry_records,
+                metadata={
+                    "schema": test_schema.model_dump_json(),
+                    "partition-spec": to_json(test_partition_spec.fields).decode("utf-8"),
+                },
+            )
         yield tmp_avro_file
 
 
@@ -2347,8 +2375,10 @@ def data_file(table_schema_simple: Schema, tmp_path: str) -> str:
 
 @pytest.fixture
 def example_task(data_file: str) -> FileScanTask:
+    datafile = DataFile.from_args(file_path=data_file, file_format=FileFormat.PARQUET, file_size_in_bytes=1925)
+    datafile.spec_id = 0
     return FileScanTask(
-        data_file=DataFile.from_args(file_path=data_file, file_format=FileFormat.PARQUET, file_size_in_bytes=1925),
+        data_file=datafile,
     )
 
 
@@ -2473,10 +2503,14 @@ def spark() -> "SparkSession":
     # Remember to also update `dev/Dockerfile`
     spark_version = ".".join(importlib.metadata.version("pyspark").split(".")[:2])
     scala_version = "2.12"
-    iceberg_version = "1.9.0"
+    iceberg_version = "1.9.2"
+    hadoop_version = "3.3.4"
+    aws_sdk_version = "1.12.753"
 
     os.environ["PYSPARK_SUBMIT_ARGS"] = (
         f"--packages org.apache.iceberg:iceberg-spark-runtime-{spark_version}_{scala_version}:{iceberg_version},"
+        f"org.apache.hadoop:hadoop-aws:{hadoop_version},"
+        f"com.amazonaws:aws-java-sdk-bundle:{aws_sdk_version},"
         f"org.apache.iceberg:iceberg-aws-bundle:{iceberg_version} pyspark-shell"
     )
     os.environ["AWS_REGION"] = "us-east-1"
@@ -2491,14 +2525,13 @@ def spark() -> "SparkSession":
         .config("spark.default.parallelism", "1")
         .config("spark.sql.extensions", "org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions")
         .config("spark.sql.catalog.integration", "org.apache.iceberg.spark.SparkCatalog")
-        .config("spark.sql.catalog.integration.catalog-impl", "org.apache.iceberg.rest.RESTCatalog")
+        .config("spark.sql.catalog.integration.type", "rest")
         .config("spark.sql.catalog.integration.cache-enabled", "false")
         .config("spark.sql.catalog.integration.uri", "http://localhost:8181")
         .config("spark.sql.catalog.integration.io-impl", "org.apache.iceberg.aws.s3.S3FileIO")
         .config("spark.sql.catalog.integration.warehouse", "s3://warehouse/wh/")
         .config("spark.sql.catalog.integration.s3.endpoint", "http://localhost:9000")
         .config("spark.sql.catalog.integration.s3.path-style-access", "true")
-        .config("spark.sql.defaultCatalog", "integration")
         .config("spark.sql.catalog.hive", "org.apache.iceberg.spark.SparkCatalog")
         .config("spark.sql.catalog.hive.type", "hive")
         .config("spark.sql.catalog.hive.uri", "http://localhost:9083")
@@ -2506,6 +2539,14 @@ def spark() -> "SparkSession":
         .config("spark.sql.catalog.hive.warehouse", "s3://warehouse/hive/")
         .config("spark.sql.catalog.hive.s3.endpoint", "http://localhost:9000")
         .config("spark.sql.catalog.hive.s3.path-style-access", "true")
+        .config("spark.sql.catalog.spark_catalog", "org.apache.iceberg.spark.SparkSessionCatalog")
+        .config("spark.sql.catalog.spark_catalog.type", "hive")
+        .config("spark.sql.catalog.spark_catalog.uri", "http://localhost:9083")
+        .config("spark.sql.catalog.spark_catalog.warehouse", "s3://warehouse/hive/")
+        .config("spark.hadoop.fs.s3a.endpoint", "http://localhost:9000")
+        .config("spark.hadoop.fs.s3a.path.style.access", "true")
+        .config("spark.sql.catalogImplementation", "hive")
+        .config("spark.sql.defaultCatalog", "integration")
         .config("spark.sql.execution.arrow.pyspark.enabled", "true")
         .getOrCreate()
     )
@@ -2770,6 +2811,28 @@ def arrow_table_schema_with_all_microseconds_timestamp_precisions() -> "pa.Schem
     )
 
 
+@pytest.fixture(scope="session")
+def arrow_table_schema_with_nanoseconds_timestamp_precisions() -> "pa.Schema":
+    """Pyarrow Schema with all microseconds timestamp."""
+    import pyarrow as pa
+
+    return pa.schema(
+        [
+            ("timestamp_s", pa.timestamp(unit="us")),
+            ("timestamptz_s", pa.timestamp(unit="us", tz="UTC")),
+            ("timestamp_ms", pa.timestamp(unit="us")),
+            ("timestamptz_ms", pa.timestamp(unit="us", tz="UTC")),
+            ("timestamp_us", pa.timestamp(unit="us")),
+            ("timestamptz_us", pa.timestamp(unit="us", tz="UTC")),
+            ("timestamp_ns", pa.timestamp(unit="us")),
+            ("timestamptz_ns", pa.timestamp(unit="ns", tz="UTC")),
+            ("timestamptz_us_etc_utc", pa.timestamp(unit="us", tz="UTC")),
+            ("timestamptz_ns_z", pa.timestamp(unit="ns", tz="UTC")),
+            ("timestamptz_s_0000", pa.timestamp(unit="us", tz="UTC")),
+        ]
+    )
+
+
 @pytest.fixture(scope="session")
 def table_schema_with_all_microseconds_timestamp_precision() -> Schema:
     """Iceberg table Schema with only date, timestamp and timestamptz values."""
diff --git a/tests/expressions/test_visitors.py b/tests/expressions/test_visitors.py
index 273bd24c9b..d0b6ab5ab4 100644
--- a/tests/expressions/test_visitors.py
+++ b/tests/expressions/test_visitors.py
@@ -72,6 +72,7 @@
     expression_to_plain_format,
     rewrite_not,
     rewrite_to_dnf,
+    translate_column_names,
     visit,
     visit_bound_predicate,
 )
@@ -79,6 +80,7 @@
 from pyiceberg.schema import Accessor, Schema
 from pyiceberg.typedef import Record
 from pyiceberg.types import (
+    BooleanType,
     DoubleType,
     FloatType,
     IcebergType,
@@ -1623,3 +1625,267 @@ def test_expression_evaluator_null() -> None:
     assert expression_evaluator(schema, LessThan("a", 1), case_sensitive=True)(struct) is False
     assert expression_evaluator(schema, StartsWith("a", 1), case_sensitive=True)(struct) is False
     assert expression_evaluator(schema, NotStartsWith("a", 1), case_sensitive=True)(struct) is True
+
+
+def test_translate_column_names_simple_case(table_schema_simple: Schema) -> None:
+    """Test translate_column_names with matching column names."""
+    # Create a bound expression using the original schema
+    unbound_expr = EqualTo("foo", "test_value")
+    bound_expr = visit(unbound_expr, visitor=BindVisitor(schema=table_schema_simple, case_sensitive=True))
+
+    # File schema has the same column names
+    file_schema = Schema(
+        NestedField(field_id=1, name="foo", field_type=StringType(), required=False),
+        NestedField(field_id=2, name="bar", field_type=IntegerType(), required=True),
+        NestedField(field_id=3, name="baz", field_type=BooleanType(), required=False),
+        schema_id=1,
+    )
+
+    # Translate column names
+    translated_expr = translate_column_names(bound_expr, file_schema, case_sensitive=True)
+
+    # Should return an unbound expression with the same column name since they match
+    assert isinstance(translated_expr, EqualTo)
+    assert translated_expr.term == Reference("foo")
+    assert translated_expr.literal == literal("test_value")
+
+
+def test_translate_column_names_different_column_names() -> None:
+    """Test translate_column_names with different column names in file schema."""
+    # Original schema
+    original_schema = Schema(
+        NestedField(field_id=1, name="original_name", field_type=StringType(), required=False),
+        schema_id=1,
+    )
+
+    # Create bound expression
+    unbound_expr = EqualTo("original_name", "test_value")
+    bound_expr = visit(unbound_expr, visitor=BindVisitor(schema=original_schema, case_sensitive=True))
+
+    # File schema has different column name but same field ID
+    file_schema = Schema(
+        NestedField(field_id=1, name="file_column_name", field_type=StringType(), required=False),
+        schema_id=1,
+    )
+
+    # Translate column names
+    translated_expr = translate_column_names(bound_expr, file_schema, case_sensitive=True)
+
+    # Should use the file schema's column name
+    assert isinstance(translated_expr, EqualTo)
+    assert translated_expr.term == Reference("file_column_name")
+    assert translated_expr.literal == literal("test_value")
+
+
+def test_translate_column_names_missing_column() -> None:
+    """Test translate_column_names when column is missing from file schema (such as in schema evolution)."""
+    # Original schema
+    original_schema = Schema(
+        NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False),
+        NestedField(field_id=2, name="missing_col", field_type=IntegerType(), required=False),
+        schema_id=1,
+    )
+
+    # Create bound expression for the missing column
+    unbound_expr = EqualTo("missing_col", 42)
+    bound_expr = visit(unbound_expr, visitor=BindVisitor(schema=original_schema, case_sensitive=True))
+
+    # File schema only has the existing column (field_id=1), missing field_id=2
+    file_schema = Schema(
+        NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False),
+        schema_id=1,
+    )
+
+    # Translate column names
+    translated_expr = translate_column_names(bound_expr, file_schema, case_sensitive=True)
+
+    # missing_col's default initial_default (None) does not match the expression literal (42)
+    assert translated_expr == AlwaysFalse()
+
+
+def test_translate_column_names_missing_column_match_null() -> None:
+    """Test translate_column_names when missing column matches null."""
+    # Original schema
+    original_schema = Schema(
+        NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False),
+        NestedField(field_id=2, name="missing_col", field_type=IntegerType(), required=False),
+        schema_id=1,
+    )
+
+    # Create bound expression for the missing column
+    unbound_expr = IsNull("missing_col")
+    bound_expr = visit(unbound_expr, visitor=BindVisitor(schema=original_schema, case_sensitive=True))
+
+    # File schema only has the existing column (field_id=1), missing field_id=2
+    file_schema = Schema(
+        NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False),
+        schema_id=1,
+    )
+
+    # Translate column names
+    translated_expr = translate_column_names(bound_expr, file_schema, case_sensitive=True)
+
+    # Should evaluate to AlwaysTrue because the missing column is treated as null
+    # missing_col's default initial_default (None) satisfies the IsNull predicate
+    assert translated_expr == AlwaysTrue()
+
+
+def test_translate_column_names_missing_column_match_explicit_null() -> None:
+    """Test translate_column_names when missing column matches null."""
+    # Original schema
+    original_schema = Schema(
+        NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False),
+        NestedField(field_id=2, name="missing_col", field_type=IntegerType(), required=False),
+        schema_id=1,
+    )
+
+    # Create bound expression for the missing column
+    unbound_expr = IsNull("missing_col")
+    bound_expr = visit(unbound_expr, visitor=BindVisitor(schema=original_schema, case_sensitive=True))
+
+    # File schema only has the existing column (field_id=1), missing field_id=2
+    file_schema = Schema(
+        NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False),
+        schema_id=1,
+    )
+
+    # Translate column names
+    translated_expr = translate_column_names(bound_expr, file_schema, projected_field_values={2: None})
+
+    # Should evaluate to AlwaysTrue because the missing column is treated as null
+    # missing_col's default initial_default (None) satisfies the IsNull predicate
+    assert translated_expr == AlwaysTrue()
+
+
+def test_translate_column_names_missing_column_with_initial_default() -> None:
+    """Test translate_column_names when missing column's initial_default matches expression."""
+    # Original schema
+    original_schema = Schema(
+        NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False),
+        NestedField(field_id=2, name="missing_col", field_type=IntegerType(), required=False, initial_default=42),
+        schema_id=1,
+    )
+
+    # Create bound expression for the missing column
+    unbound_expr = EqualTo("missing_col", 42)
+    bound_expr = visit(unbound_expr, visitor=BindVisitor(schema=original_schema, case_sensitive=True))
+
+    # File schema only has the existing column (field_id=1), missing field_id=2
+    file_schema = Schema(
+        NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False),
+        schema_id=1,
+    )
+
+    # Translate column names
+    translated_expr = translate_column_names(bound_expr, file_schema, case_sensitive=True)
+
+    # Should evaluate to AlwaysTrue because the initial_default value (42) matches the literal (42)
+    assert translated_expr == AlwaysTrue()
+
+
+def test_translate_column_names_missing_column_with_initial_default_mismatch() -> None:
+    """Test translate_column_names when missing column's initial_default doesn't match expression."""
+    # Original schema
+    original_schema = Schema(
+        NestedField(field_id=2, name="missing_col", field_type=IntegerType(), required=False, initial_default=10),
+        schema_id=1,
+    )
+
+    # Create bound expression that won't match the default value
+    unbound_expr = EqualTo("missing_col", 42)
+    bound_expr = visit(unbound_expr, visitor=BindVisitor(schema=original_schema, case_sensitive=True))
+
+    # File schema doesn't have this column
+    file_schema = Schema(
+        NestedField(field_id=1, name="other_col", field_type=StringType(), required=False),
+        schema_id=1,
+    )
+
+    # Translate column names
+    translated_expr = translate_column_names(bound_expr, file_schema, case_sensitive=True)
+
+    # Should evaluate to AlwaysFalse because initial_default value (10) doesn't match literal (42)
+    assert translated_expr == AlwaysFalse()
+
+
+def test_translate_column_names_missing_column_with_projected_field_matches() -> None:
+    """Test translate_column_names with projected field value that matches expression."""
+    # Original schema with a field that has no initial_default (defaults to None)
+    original_schema = Schema(
+        NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False),
+        NestedField(field_id=2, name="missing_col", field_type=IntegerType(), required=False),
+        schema_id=1,
+    )
+
+    # Create bound expression for the missing column
+    unbound_expr = EqualTo("missing_col", 42)
+    bound_expr = visit(unbound_expr, visitor=BindVisitor(schema=original_schema, case_sensitive=True))
+
+    # File schema only has the existing column (field_id=1), missing field_id=2
+    file_schema = Schema(
+        NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False),
+        schema_id=1,
+    )
+
+    # Projected column that is missing in the file schema
+    translated_expr = translate_column_names(bound_expr, file_schema, projected_field_values={2: 42})
+
+    # Should evaluate to AlwaysTrue since projected field value matches the expression literal
+    # even though the field is missing in the file schema
+    assert translated_expr == AlwaysTrue()
+
+
+def test_translate_column_names_missing_column_with_projected_field_mismatch() -> None:
+    """Test translate_column_names with projected field value that doesn't match expression."""
+    # Original schema with a field that has no initial_default (defaults to None)
+    original_schema = Schema(
+        NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False),
+        NestedField(field_id=2, name="missing_col", field_type=IntegerType(), required=False),
+        schema_id=1,
+    )
+
+    # Create bound expression for the missing column
+    unbound_expr = EqualTo("missing_col", 42)
+    bound_expr = visit(unbound_expr, visitor=BindVisitor(schema=original_schema, case_sensitive=True))
+
+    # File schema only has the existing column (field_id=1), missing field_id=2
+    file_schema = Schema(
+        NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False),
+        schema_id=1,
+    )
+
+    # Projected column that is missing in the file schema
+    translated_expr = translate_column_names(bound_expr, file_schema, projected_field_values={2: 1})
+
+    # Should evaluate to AlwaysFalse since projected field value does not match the expression literal
+    assert translated_expr == AlwaysFalse()
+
+
+def test_translate_column_names_missing_column_projected_field_ignores_initial_default() -> None:
+    """Test translate_column_names when projected field value doesn't match but initial_default does."""
+    # Original schema with a field that has an initial_default
+    original_schema = Schema(
+        NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False),
+        NestedField(field_id=2, name="missing_col", field_type=IntegerType(), required=False, initial_default=42),
+        schema_id=1,
+    )
+
+    # Create bound expression for the missing column that would match initial_default
+    unbound_expr = EqualTo("missing_col", 42)
+    bound_expr = visit(unbound_expr, visitor=BindVisitor(schema=original_schema, case_sensitive=True))
+
+    # File schema only has the existing column (field_id=1), missing field_id=2
+    file_schema = Schema(
+        NestedField(field_id=1, name="existing_col", field_type=StringType(), required=False),
+        schema_id=1,
+    )
+
+    # Projected field value that differs from both the expression literal and initial_default
+    translated_expr = translate_column_names(
+        bound_expr,
+        file_schema,
+        projected_field_values={2: 10},  # This doesn't match expression literal (42)
+    )
+
+    # Should evaluate to AlwaysFalse since projected field value doesn't match the expression literal
+    assert translated_expr == AlwaysFalse()
diff --git a/tests/integration/test_hive_migration.py b/tests/integration/test_hive_migration.py
new file mode 100644
index 0000000000..51386d56c4
--- /dev/null
+++ b/tests/integration/test_hive_migration.py
@@ -0,0 +1,83 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+import time
+from datetime import date
+
+import pytest
+from pyspark.sql import SparkSession
+
+from pyiceberg.catalog import Catalog
+
+
+@pytest.mark.integration
+def test_migrate_table(
+    session_catalog_hive: Catalog,
+    spark: SparkSession,
+) -> None:
+    """
+    Imported tables are an edge case since the partition column is not stored
+    in the Parquet files:
+
+    test_migrate_table_hive_1754486926/dt=2022-01-01/part-00000-30a9798b-7597-4027-86d9-79d7c529bc87.c000.snappy.parquet
+    {
+      "type" : "record",
+      "name" : "spark_schema",
+      "fields" : [ {
+        "name" : "number",
+        "type" : "int"
+      } ]
+    }
+
+    PyIceberg will project this column when the table is being read
+    """
+    # Create new tables to avoid complex cleanup
+    src_table_identifier = f"spark_catalog.default.test_migrate_table_hive_{int(time.time())}"
+    dst_table_identifier = f"default.test_migrate_table_{int(time.time())}"
+
+    spark.sql(f"""
+        CREATE TABLE {src_table_identifier} (
+            number INTEGER
+        )
+        PARTITIONED BY (dt date)
+        STORED AS parquet
+    """)
+
+    spark.sql(f"""
+        INSERT OVERWRITE TABLE {src_table_identifier}
+        PARTITION (dt='2022-01-01')
+        VALUES (1), (2), (3)
+    """)
+
+    spark.sql(f"""
+        INSERT OVERWRITE TABLE {src_table_identifier}
+        PARTITION (dt='2023-01-01')
+        VALUES (4), (5), (6)
+    """)
+
+    # Docs: https://iceberg.apache.org/docs/latest/hive-migration/#snapshot-hive-table-to-iceberg
+    spark.sql(f"""
+        CALL hive.system.snapshot('{src_table_identifier}', 'hive.{dst_table_identifier}')
+    """)
+
+    tbl = session_catalog_hive.load_table(dst_table_identifier)
+    assert tbl.schema().column_names == ["number", "dt"]
+
+    assert set(tbl.scan().to_arrow().column(1).combine_chunks().tolist()) == {date(2023, 1, 1), date(2022, 1, 1)}
+    assert tbl.scan(row_filter="number > 3").to_arrow().column(0).combine_chunks().tolist() == [4, 5, 6]
+    assert tbl.scan(row_filter="dt == '2023-01-01'").to_arrow().column(0).combine_chunks().tolist() == [4, 5, 6]
+    assert tbl.scan(row_filter="dt == '2022-01-01'").to_arrow().column(0).combine_chunks().tolist() == [1, 2, 3]
+    assert tbl.scan(row_filter="dt < '2022-02-01'").to_arrow().column(0).combine_chunks().tolist() == [1, 2, 3]
diff --git a/tests/integration/test_writes/test_partitioned_writes.py b/tests/integration/test_writes/test_partitioned_writes.py
index b2f6ad410d..e9698067c1 100644
--- a/tests/integration/test_writes/test_partitioned_writes.py
+++ b/tests/integration/test_writes/test_partitioned_writes.py
@@ -711,8 +711,10 @@ def test_dynamic_partition_overwrite_evolve_partition(spark: SparkSession, sessi
     )
 
     identifier = f"default.partitioned_{format_version}_test_dynamic_partition_overwrite_evolve_partition"
-    with pytest.raises(NoSuchTableError):
+    try:
         session_catalog.drop_table(identifier)
+    except NoSuchTableError:
+        pass
 
     tbl = session_catalog.create_table(
         identifier=identifier,
diff --git a/tests/integration/test_writes/test_writes.py b/tests/integration/test_writes/test_writes.py
index e63883c1db..38aea1e255 100644
--- a/tests/integration/test_writes/test_writes.py
+++ b/tests/integration/test_writes/test_writes.py
@@ -1201,6 +1201,137 @@ def test_sanitize_character_partitioned(catalog: Catalog) -> None:
     assert len(tbl.scan().to_arrow()) == 22
 
 
+@pytest.mark.integration
+@pytest.mark.parametrize("catalog", [pytest.lazy_fixture("session_catalog")])
+def test_sanitize_character_partitioned_avro_bug(catalog: Catalog) -> None:
+    table_name = "default.test_table_partitioned_sanitized_character_avro"
+    try:
+        catalog.drop_table(table_name)
+    except NoSuchTableError:
+        pass
+
+    schema = Schema(
+        NestedField(id=1, name="😎", field_type=StringType(), required=False),
+    )
+
+    partition_spec = PartitionSpec(
+        PartitionField(
+            source_id=1,
+            field_id=1001,
+            transform=IdentityTransform(),
+            name="😎",
+        )
+    )
+
+    tbl = _create_table(
+        session_catalog=catalog,
+        identifier=table_name,
+        schema=schema,
+        partition_spec=partition_spec,
+        data=[
+            pa.Table.from_arrays(
+                [pa.array([str(i) for i in range(22)])], schema=pa.schema([pa.field("😎", pa.string(), nullable=False)])
+            )
+        ],
+    )
+
+    assert len(tbl.scan().to_arrow()) == 22
+
+    # verify that we can read the table with DuckDB
+    import duckdb
+
+    location = tbl.metadata_location
+    duckdb.sql("INSTALL iceberg; LOAD iceberg;")
+    # Configure S3 settings for DuckDB to match the catalog configuration
+    duckdb.sql("SET s3_endpoint='localhost:9000';")
+    duckdb.sql("SET s3_access_key_id='admin';")
+    duckdb.sql("SET s3_secret_access_key='password';")
+    duckdb.sql("SET s3_use_ssl=false;")
+    duckdb.sql("SET s3_url_style='path';")
+    result = duckdb.sql(f"SELECT * FROM iceberg_scan('{location}')").fetchall()
+    assert len(result) == 22
+
+
+@pytest.mark.integration
+@pytest.mark.parametrize("format_version", [1, 2])
+def test_cross_platform_special_character_compatibility(
+    spark: SparkSession, session_catalog: Catalog, format_version: int
+) -> None:
+    """Test cross-platform compatibility with special characters in column names."""
+    identifier = "default.test_cross_platform_special_characters"
+
+    # Test various special characters that need sanitization
+    special_characters = [
+        "😎",  # emoji - Java produces _xD83D_xDE0E, Python produces _x1F60E
+        "a.b",  # dot - both should produce a_x2Eb
+        "a#b",  # hash - both should produce a_x23b
+        "9x",  # starts with digit - both should produce _9x
+        "x_",  # valid - should remain unchanged
+        "letter/abc",  # slash - both should produce letter_x2Fabc
+    ]
+
+    for i, special_char in enumerate(special_characters):
+        table_name = f"{identifier}_{format_version}_{i}"
+        pyiceberg_table_name = f"{identifier}_pyiceberg_{format_version}_{i}"
+
+        try:
+            session_catalog.drop_table(table_name)
+        except Exception:
+            pass
+        try:
+            session_catalog.drop_table(pyiceberg_table_name)
+        except Exception:
+            pass
+
+        try:
+            # Test 1: Spark writes, PyIceberg reads
+            spark_df = spark.createDataFrame([("test_value",)], [special_char])
+            spark_df.writeTo(table_name).using("iceberg").createOrReplace()
+
+            # Read with PyIceberg table scan
+            tbl = session_catalog.load_table(table_name)
+            pyiceberg_df = tbl.scan().to_pandas()
+            assert len(pyiceberg_df) == 1
+            assert special_char in pyiceberg_df.columns
+            assert pyiceberg_df.iloc[0][special_char] == "test_value"
+
+            # Test 2: PyIceberg writes, Spark reads
+            from pyiceberg.schema import Schema
+            from pyiceberg.types import NestedField, StringType
+
+            schema = Schema(NestedField(field_id=1, name=special_char, field_type=StringType(), required=True))
+
+            tbl_pyiceberg = session_catalog.create_table(
+                identifier=pyiceberg_table_name, schema=schema, properties={"format-version": str(format_version)}
+            )
+
+            import pyarrow as pa
+
+            # Create PyArrow schema with required field to match Iceberg schema
+            pa_schema = pa.schema([pa.field(special_char, pa.string(), nullable=False)])
+            data = pa.Table.from_pydict({special_char: ["pyiceberg_value"]}, schema=pa_schema)
+            tbl_pyiceberg.append(data)
+
+            # Read with Spark
+            spark_df_read = spark.table(pyiceberg_table_name)
+            spark_result = spark_df_read.collect()
+
+            # Verify data integrity
+            assert len(spark_result) == 1
+            assert special_char in spark_df_read.columns
+            assert spark_result[0][special_char] == "pyiceberg_value"
+
+        finally:
+            try:
+                session_catalog.drop_table(table_name)
+            except Exception:
+                pass
+            try:
+                session_catalog.drop_table(pyiceberg_table_name)
+            except Exception:
+                pass
+
+
 @pytest.mark.integration
 @pytest.mark.parametrize("format_version", [1, 2])
 def test_table_write_subset_of_schema(session_catalog: Catalog, arrow_table_with_null: pa.Table, format_version: int) -> None:
@@ -1802,6 +1933,23 @@ def test_write_optional_list(session_catalog: Catalog) -> None:
     assert len(session_catalog.load_table(identifier).scan().to_arrow()) == 4
 
 
+@pytest.mark.integration
+@pytest.mark.parametrize("format_version", [1, 2])
+def test_double_commit_transaction(
+    spark: SparkSession, session_catalog: Catalog, arrow_table_with_null: pa.Table, format_version: int
+) -> None:
+    identifier = "default.arrow_data_files"
+    tbl = _create_table(session_catalog, identifier, {"format-version": format_version}, [])
+
+    assert len(tbl.metadata.metadata_log) == 0
+
+    with tbl.transaction() as tx:
+        tx.append(arrow_table_with_null)
+        tx.commit_transaction()
+
+    assert len(tbl.metadata.metadata_log) == 1
+
+
 @pytest.mark.integration
 @pytest.mark.parametrize("format_version", [1, 2])
 def test_evolve_and_write(
@@ -2098,3 +2246,18 @@ def test_branch_py_write_spark_read(session_catalog: Catalog, spark: SparkSessio
     )
     assert main_df.count() == 3
     assert branch_df.count() == 2
+
+
+@pytest.mark.integration
+def test_nanosecond_support_on_catalog(session_catalog: Catalog) -> None:
+    identifier = "default.test_nanosecond_support_on_catalog"
+    # Create a pyarrow table with a nanosecond timestamp column
+    table = pa.Table.from_arrays(
+        [
+            pa.array([datetime.now()], type=pa.timestamp("ns")),
+            pa.array([datetime.now()], type=pa.timestamp("ns", tz="America/New_York")),
+        ],
+        names=["timestamp_ns", "timestamptz_ns"],
+    )
+
+    _create_table(session_catalog, identifier, {"format-version": "3"}, schema=table.schema)
diff --git a/tests/io/test_pyarrow.py b/tests/io/test_pyarrow.py
index 4f121ba3bc..f5c3082edc 100644
--- a/tests/io/test_pyarrow.py
+++ b/tests/io/test_pyarrow.py
@@ -970,6 +970,10 @@ def file_map(schema_map: Schema, tmpdir: str) -> str:
 def project(
     schema: Schema, files: List[str], expr: Optional[BooleanExpression] = None, table_schema: Optional[Schema] = None
 ) -> pa.Table:
+    def _set_spec_id(datafile: DataFile) -> DataFile:
+        datafile.spec_id = 0
+        return datafile
+
     return ArrowScan(
         table_metadata=TableMetadataV2(
             location="file://a/b/",
@@ -985,13 +989,15 @@ def project(
     ).to_table(
         tasks=[
             FileScanTask(
-                DataFile.from_args(
-                    content=DataFileContent.DATA,
-                    file_path=file,
-                    file_format=FileFormat.PARQUET,
-                    partition={},
-                    record_count=3,
-                    file_size_in_bytes=3,
+                _set_spec_id(
+                    DataFile.from_args(
+                        content=DataFileContent.DATA,
+                        file_path=file,
+                        file_format=FileFormat.PARQUET,
+                        partition={},
+                        record_count=3,
+                        file_size_in_bytes=3,
+                    )
                 )
             )
             for file in files
@@ -1189,7 +1195,7 @@ def test_identity_transform_column_projection(tmp_path: str, catalog: InMemoryCa
         with transaction.update_snapshot().overwrite() as update:
             update.append_data_file(unpartitioned_file)
 
-    schema = pa.schema([("other_field", pa.string()), ("partition_id", pa.int64())])
+    schema = pa.schema([("other_field", pa.string()), ("partition_id", pa.int32())])
     assert table.scan().to_arrow() == pa.table(
         {
             "other_field": ["foo", "bar", "baz"],
@@ -1197,6 +1203,16 @@ def test_identity_transform_column_projection(tmp_path: str, catalog: InMemoryCa
         },
         schema=schema,
     )
+    # Test that row filter works with partition value projection
+    assert table.scan(row_filter="partition_id = 1").to_arrow() == pa.table(
+        {
+            "other_field": ["foo", "bar", "baz"],
+            "partition_id": [1, 1, 1],
+        },
+        schema=schema,
+    )
+    # Test that row filter does not return any rows for a non-existing partition value
+    assert len(table.scan(row_filter="partition_id = -1").to_arrow()) == 0
 
 
 def test_identity_transform_columns_projection(tmp_path: str, catalog: InMemoryCatalog) -> None:
@@ -1254,8 +1270,8 @@ def test_identity_transform_columns_projection(tmp_path: str, catalog: InMemoryC
         str(table.scan().to_arrow())
         == """pyarrow.Table
 field_1: string
-field_2: int64
-field_3: int64
+field_2: int32
+field_3: int32
 ----
 field_1: [["foo"]]
 field_2: [[2]]
diff --git a/tests/table/test_expire_snapshots.py b/tests/table/test_expire_snapshots.py
index 82ecb9e493..e2b2d47b67 100644
--- a/tests/table/test_expire_snapshots.py
+++ b/tests/table/test_expire_snapshots.py
@@ -14,6 +14,7 @@
 # KIND, either express or implied.  See the License for the
 # specific language governing permissions and limitations
 # under the License.
+import datetime
 from unittest.mock import MagicMock
 from uuid import uuid4
 
@@ -43,7 +44,7 @@ def test_cannot_expire_protected_head_snapshot(table_v2: Table) -> None:
 
     # Attempt to expire the HEAD snapshot and expect a ValueError
     with pytest.raises(ValueError, match=f"Snapshot with ID {HEAD_SNAPSHOT} is protected and cannot be expired."):
-        table_v2.expire_snapshots().expire_snapshot_by_id(HEAD_SNAPSHOT).commit()
+        table_v2.maintenance.expire_snapshots().by_id(HEAD_SNAPSHOT).commit()
 
     table_v2.catalog.commit_table.assert_not_called()
 
@@ -66,7 +67,7 @@ def test_cannot_expire_tagged_snapshot(table_v2: Table) -> None:
     assert any(ref.snapshot_id == TAGGED_SNAPSHOT for ref in table_v2.metadata.refs.values())
 
     with pytest.raises(ValueError, match=f"Snapshot with ID {TAGGED_SNAPSHOT} is protected and cannot be expired."):
-        table_v2.expire_snapshots().expire_snapshot_by_id(TAGGED_SNAPSHOT).commit()
+        table_v2.maintenance.expire_snapshots().by_id(TAGGED_SNAPSHOT).commit()
 
     table_v2.catalog.commit_table.assert_not_called()
 
@@ -98,7 +99,7 @@ def test_expire_unprotected_snapshot(table_v2: Table) -> None:
     assert all(ref.snapshot_id != EXPIRE_SNAPSHOT for ref in table_v2.metadata.refs.values())
 
     # Expire the snapshot
-    table_v2.expire_snapshots().expire_snapshot_by_id(EXPIRE_SNAPSHOT).commit()
+    table_v2.maintenance.expire_snapshots().by_id(EXPIRE_SNAPSHOT).commit()
 
     table_v2.catalog.commit_table.assert_called_once()
     remaining_snapshots = table_v2.metadata.snapshots
@@ -114,7 +115,7 @@ def test_expire_nonexistent_snapshot_raises(table_v2: Table) -> None:
     table_v2.metadata = table_v2.metadata.model_copy(update={"refs": {}})
 
     with pytest.raises(ValueError, match=f"Snapshot with ID {NONEXISTENT_SNAPSHOT} does not exist."):
-        table_v2.expire_snapshots().expire_snapshot_by_id(NONEXISTENT_SNAPSHOT).commit()
+        table_v2.maintenance.expire_snapshots().by_id(NONEXISTENT_SNAPSHOT).commit()
 
     table_v2.catalog.commit_table.assert_not_called()
 
@@ -142,7 +143,7 @@ def test_expire_snapshots_by_timestamp_skips_protected(table_v2: Table) -> None:
     table_v2.catalog = MagicMock()
 
     # Attempt to expire all snapshots before a future timestamp (so both are candidates)
-    future_timestamp = 9999999999999  # Far in the future, after any real snapshot
+    future_datetime = datetime.datetime.now() + datetime.timedelta(days=1)
 
     # Mock the catalog's commit_table to return the current metadata (simulate no change)
     mock_response = CommitTableResponse(
@@ -152,7 +153,7 @@ def test_expire_snapshots_by_timestamp_skips_protected(table_v2: Table) -> None:
     )
     table_v2.catalog.commit_table.return_value = mock_response
 
-    table_v2.expire_snapshots().expire_snapshots_older_than(future_timestamp).commit()
+    table_v2.maintenance.expire_snapshots().older_than(future_datetime).commit()
     # Update metadata to reflect the commit (as in other tests)
     table_v2.metadata = mock_response.metadata
 
@@ -215,7 +216,7 @@ def test_expire_snapshots_by_ids(table_v2: Table) -> None:
     assert all(ref.snapshot_id not in (EXPIRE_SNAPSHOT_1, EXPIRE_SNAPSHOT_2) for ref in table_v2.metadata.refs.values())
 
     # Expire the snapshots
-    table_v2.expire_snapshots().expire_snapshots_by_ids([EXPIRE_SNAPSHOT_1, EXPIRE_SNAPSHOT_2]).commit()
+    table_v2.maintenance.expire_snapshots().by_ids([EXPIRE_SNAPSHOT_1, EXPIRE_SNAPSHOT_2]).commit()
 
     table_v2.catalog.commit_table.assert_called_once()
     remaining_snapshots = table_v2.metadata.snapshots
diff --git a/tests/test_avro_sanitization.py b/tests/test_avro_sanitization.py
new file mode 100644
index 0000000000..0ca23e3165
--- /dev/null
+++ b/tests/test_avro_sanitization.py
@@ -0,0 +1,269 @@
+# type: ignore
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+
+import tempfile
+from typing import Any, Dict
+
+from fastavro import reader
+
+import pyiceberg.avro.file as avro
+from pyiceberg.io.pyarrow import PyArrowFileIO
+from pyiceberg.schema import ICEBERG_FIELD_NAME_PROP, Schema
+from pyiceberg.typedef import Record
+from pyiceberg.types import IntegerType, NestedField, StringType
+from pyiceberg.utils.schema_conversion import AvroSchemaConversion, AvroType
+
+
+class AvroTestRecord(Record):
+    """Test record class for Avro compatibility testing."""
+
+    @property
+    def valid_field(self) -> str:
+        return self._data[0]
+
+    @property
+    def invalid_field(self) -> int:
+        return self._data[1]
+
+    @property
+    def field_starting_with_digit(self) -> str:
+        return self._data[2]
+
+
+def test_comprehensive_field_name_sanitization() -> None:
+    """Test comprehensive field name sanitization including edge cases and Java compatibility."""
+
+    test_cases = [
+        # Java compatibility test cases
+        ("9x", "_9x"),
+        ("x_", "x_"),
+        ("a.b", "a_x2Eb"),
+        ("☃", "_x2603"),
+        ("a#b", "a_x23b"),
+        ("123", "_123"),
+        ("_", "_"),
+        ("a", "a"),
+        ("a1", "a1"),
+        ("1a", "_1a"),
+        ("a☃b", "a_x2603b"),
+        ("name#with#hash", "name_x23with_x23hash"),
+        ("123number", "_123number"),
+        ("😎", "_x1F60E"),
+        ("😎_with_text", "_x1F60E_with_text"),
+    ]
+
+    for original_name, expected_sanitized in test_cases:
+        schema = Schema(NestedField(field_id=1, name=original_name, field_type=StringType(), required=True))
+
+        avro_schema: AvroType = AvroSchemaConversion().iceberg_to_avro(schema)
+        avro_dict: Dict[str, Any] = avro_schema
+
+        assert avro_dict["fields"][0]["name"] == expected_sanitized
+
+        if original_name != expected_sanitized:
+            assert avro_dict["fields"][0][ICEBERG_FIELD_NAME_PROP] == original_name
+        else:
+            assert ICEBERG_FIELD_NAME_PROP not in avro_dict["fields"][0]
+
+
+def test_comprehensive_avro_compatibility() -> None:
+    """Test comprehensive Avro compatibility including complex schemas and file structure."""
+
+    # Create schema with various field name types
+    schema = Schema(
+        NestedField(field_id=1, name="valid_field", field_type=StringType(), required=True),
+        NestedField(field_id=2, name="invalid.field", field_type=IntegerType(), required=True),
+        NestedField(field_id=3, name="9x", field_type=StringType(), required=True),
+        NestedField(field_id=4, name="name#with#hash", field_type=StringType(), required=True),
+        NestedField(field_id=5, name="☃", field_type=IntegerType(), required=True),
+        NestedField(field_id=6, name="😎", field_type=IntegerType(), required=True),
+    )
+
+    test_records = [
+        AvroTestRecord("hello", 42, "test", "hash_value", 100, 200),
+        AvroTestRecord("goodbye", 99, "example", "another_hash", 200, 300),
+    ]
+
+    with tempfile.NamedTemporaryFile(suffix=".avro", delete=False) as tmp_file:
+        tmp_avro_file = tmp_file.name
+
+    try:
+        with avro.AvroOutputFile[AvroTestRecord](
+            output_file=PyArrowFileIO().new_output(tmp_avro_file),
+            file_schema=schema,
+            schema_name="test_schema",
+            metadata={"test": "metadata"},
+        ) as output_file:
+            output_file.write_block(test_records)
+
+        with open(tmp_avro_file, "rb") as fo:
+            # Test Avro file structure
+            magic = fo.read(4)
+            assert magic == b"Obj\x01"  # Avro magic bytes
+
+            import struct
+
+            metadata_length = struct.unpack(">I", fo.read(4))[0]
+            assert metadata_length > 0
+
+            fo.seek(0)
+            avro_reader = reader(fo)
+
+            avro_schema: AvroType = avro_reader.writer_schema
+            avro_dict: Dict[str, Any] = avro_schema
+            field_names = [field["name"] for field in avro_dict["fields"]]
+
+            # Expected sanitized names (matching Java implementation)
+            expected_field_names = [
+                "valid_field",
+                "invalid_x2Efield",
+                "_9x",
+                "name_x23with_x23hash",
+                "_x2603",
+                "_x1F60E",
+            ]
+
+            assert field_names == expected_field_names
+
+            # Verify iceberg-field-name properties
+            for field in avro_dict["fields"]:
+                field_dict: Dict[str, Any] = field
+                if field_dict["name"] == "invalid_x2Efield":
+                    assert "iceberg-field-name" in field_dict
+                    assert field_dict["iceberg-field-name"] == "invalid.field"
+                elif field_dict["name"] == "_9x":
+                    assert "iceberg-field-name" in field_dict
+                    assert field_dict["iceberg-field-name"] == "9x"
+                elif field_dict["name"] == "name_x23with_x23hash":
+                    assert "iceberg-field-name" in field_dict
+                    assert field_dict["iceberg-field-name"] == "name#with#hash"
+                elif field_dict["name"] == "_x2603":
+                    assert "iceberg-field-name" in field_dict
+                    assert field_dict["iceberg-field-name"] == "☃"
+                elif field_dict["name"] == "_x1F60E":
+                    assert "iceberg-field-name" in field_dict
+                    assert field_dict["iceberg-field-name"] == "😎"
+                else:
+                    assert "iceberg-field-name" not in field_dict
+
+            records = list(avro_reader)
+            assert len(records) == 2
+
+            # Verify data integrity
+            first_record = records[0]
+            assert first_record["valid_field"] == "hello"
+            assert first_record["invalid_x2Efield"] == 42
+            assert first_record["_9x"] == "test"
+            assert first_record["name_x23with_x23hash"] == "hash_value"
+            assert first_record["_x2603"] == 100
+            assert first_record["_x1F60E"] == 200
+
+            second_record = records[1]
+            assert second_record["valid_field"] == "goodbye"
+            assert second_record["invalid_x2Efield"] == 99
+            assert second_record["_9x"] == "example"
+            assert second_record["name_x23with_x23hash"] == "another_hash"
+            assert second_record["_x2603"] == 200
+            assert second_record["_x1F60E"] == 300
+
+            assert avro_reader.metadata.get("test") == "metadata"
+
+    finally:
+        import os
+
+        if os.path.exists(tmp_avro_file):
+            os.unlink(tmp_avro_file)
+
+
+def test_emoji_field_name_sanitization() -> None:
+    """Test that emoji field names are properly sanitized according to Java implementation."""
+
+    schema = Schema(
+        NestedField(field_id=1, name="😎", field_type=IntegerType(), required=True),
+        NestedField(field_id=2, name="valid_field", field_type=StringType(), required=True),
+        NestedField(field_id=3, name="😎_with_text", field_type=StringType(), required=True),
+    )
+
+    avro_schema: AvroType = AvroSchemaConversion().iceberg_to_avro(schema, schema_name="emoji_test")
+    avro_dict: Dict[str, Any] = avro_schema
+
+    field_names = [field["name"] for field in avro_dict["fields"]]
+    expected_field_names = [
+        "_x1F60E",  # 😎 becomes _x1F60E (Unicode 0x1F60E)
+        "valid_field",
+        "_x1F60E_with_text",
+    ]
+
+    assert field_names == expected_field_names
+
+    for field in avro_dict["fields"]:
+        field_dict: Dict[str, Any] = field
+        if field_dict["name"] == "_x1F60E":
+            assert field_dict["iceberg-field-name"] == "😎"
+        elif field_dict["name"] == "_x1F60E_with_text":
+            assert field_dict["iceberg-field-name"] == "😎_with_text"
+        else:
+            assert "iceberg-field-name" not in field_dict
+
+    test_records = [
+        AvroTestRecord(42, "hello", "world"),
+    ]
+
+    with tempfile.NamedTemporaryFile(suffix=".avro", delete=False) as tmp_file:
+        tmp_avro_file = tmp_file.name
+
+    try:
+        with avro.AvroOutputFile[AvroTestRecord](
+            output_file=PyArrowFileIO().new_output(tmp_avro_file),
+            file_schema=schema,
+            schema_name="emoji_test",
+        ) as output_file:
+            output_file.write_block(test_records)
+
+        with open(tmp_avro_file, "rb") as fo:
+            avro_reader = reader(fo)
+
+            avro_schema_reader: AvroType = avro_reader.writer_schema
+            avro_dict_reader: Dict[str, Any] = avro_schema_reader
+            field_names_reader = [field["name"] for field in avro_dict_reader["fields"]]
+
+            assert field_names_reader == expected_field_names
+
+            for field in avro_dict_reader["fields"]:
+                field_dict_reader: Dict[str, Any] = field
+                if field_dict_reader["name"] == "_x1F60E":
+                    assert field_dict_reader["iceberg-field-name"] == "😎"
+                elif field_dict_reader["name"] == "_x1F60E_with_text":
+                    assert field_dict_reader["iceberg-field-name"] == "😎_with_text"
+                else:
+                    assert "iceberg-field-name" not in field_dict_reader
+
+            records = list(avro_reader)
+            assert len(records) == 1
+
+            first_record = records[0]
+            assert first_record["_x1F60E"] == 42
+            assert first_record["valid_field"] == "hello"
+            assert first_record["_x1F60E_with_text"] == "world"
+
+    finally:
+        import os
+
+        if os.path.exists(tmp_avro_file):
+            os.unlink(tmp_avro_file)
diff --git a/tests/test_types.py b/tests/test_types.py
index 2527f0e822..18eb909d09 100644
--- a/tests/test_types.py
+++ b/tests/test_types.py
@@ -525,6 +525,21 @@ def test_repr_decimal() -> None:
     assert repr(DecimalType(19, 25)) == "DecimalType(precision=19, scale=25)"
 
 
+def test_repr_nested_field_default_nones_should_not_appear() -> None:
+    assert (
+        repr(NestedField(1, "required_field", StringType(), required=False, initial_default=None, write_default=None))
+        == "NestedField(field_id=1, name='required_field', field_type=StringType(), required=False)"
+    )
+    assert (
+        repr(NestedField(1, "required_field", StringType(), required=False, initial_default="hello", write_default=None))
+        == "NestedField(field_id=1, name='required_field', field_type=StringType(), required=False, initial_default='hello')"
+    )
+    assert (
+        repr(NestedField(1, "required_field", StringType(), required=False, initial_default="hello", write_default="bye"))
+        == "NestedField(field_id=1, name='required_field', field_type=StringType(), required=False, initial_default='hello', write_default='bye')"
+    )
+
+
 def test_serialization_nestedfield() -> None:
     expected = '{"id":1,"name":"required_field","type":"string","required":true,"doc":"this is a doc"}'
     actual = NestedField(1, "required_field", StringType(), True, "this is a doc").model_dump_json()
diff --git a/tests/utils/test_manifest.py b/tests/utils/test_manifest.py
index 825431c776..7c62b9564c 100644
--- a/tests/utils/test_manifest.py
+++ b/tests/utils/test_manifest.py
@@ -38,10 +38,9 @@
     write_manifest,
     write_manifest_list,
 )
-from pyiceberg.partitioning import UNPARTITIONED_PARTITION_SPEC, PartitionField, PartitionSpec
+from pyiceberg.partitioning import UNPARTITIONED_PARTITION_SPEC, PartitionSpec
 from pyiceberg.schema import Schema
 from pyiceberg.table.snapshots import Operation, Snapshot, Summary
-from pyiceberg.transforms import IdentityTransform
 from pyiceberg.typedef import Record, TableVersion
 from pyiceberg.types import IntegerType, NestedField
 
@@ -154,8 +153,8 @@ def test_read_manifest_entry(generated_manifest_entry_file: str) -> None:
     }
     assert data_file.nan_value_counts == {16: 0, 17: 0, 18: 0, 19: 0, 10: 0, 11: 0, 12: 0, 13: 0, 14: 0, 15: 0}
     assert data_file.lower_bounds == {
-        2: b"2020-04-01 00:00",
-        3: b"2020-04-01 00:12",
+        2: b"\x01\x00\x00\x00\x00\x00\x00\x00",
+        3: b"\x01\x00\x00\x00\x00\x00\x00\x00",
         7: b"\x03\x00\x00\x00",
         8: b"\x01\x00\x00\x00",
         10: b"\xf6(\\\x8f\xc2\x05S\xc0",
@@ -169,8 +168,8 @@ def test_read_manifest_entry(generated_manifest_entry_file: str) -> None:
         19: b"\x00\x00\x00\x00\x00\x00\x04\xc0",
     }
     assert data_file.upper_bounds == {
-        2: b"2020-04-30 23:5:",
-        3: b"2020-05-01 00:41",
+        2: b"\x06\x00\x00\x00\x00\x00\x00\x00",
+        3: b"\x06\x00\x00\x00\x00\x00\x00\x00",
         7: b"\t\x01\x00\x00",
         8: b"\t\x01\x00\x00",
         10: b"\xcd\xcc\xcc\xcc\xcc,_@",
@@ -363,6 +362,8 @@ def test_write_manifest(
     generated_manifest_file_file_v1: str,
     generated_manifest_file_file_v2: str,
     format_version: TableVersion,
+    test_schema: Schema,
+    test_partition_spec: PartitionSpec,
     compression: AvroCompressionCodec,
 ) -> None:
     io = load_file_io()
@@ -376,20 +377,12 @@ def test_write_manifest(
     )
     demo_manifest_file = snapshot.manifests(io)[0]
     manifest_entries = demo_manifest_file.fetch_manifest_entry(io)
-    test_schema = Schema(
-        NestedField(1, "VendorID", IntegerType(), False), NestedField(2, "tpep_pickup_datetime", IntegerType(), False)
-    )
-    test_spec = PartitionSpec(
-        PartitionField(source_id=1, field_id=1, transform=IdentityTransform(), name="VendorID"),
-        PartitionField(source_id=2, field_id=2, transform=IdentityTransform(), name="tpep_pickup_datetime"),
-        spec_id=demo_manifest_file.partition_spec_id,
-    )
     with TemporaryDirectory() as tmpdir:
         tmp_avro_file = tmpdir + "/test_write_manifest.avro"
         output = io.new_output(tmp_avro_file)
         with write_manifest(
             format_version=format_version,
-            spec=test_spec,
+            spec=test_partition_spec,
             schema=test_schema,
             output_file=output,
             snapshot_id=8744736658442914487,
@@ -404,7 +397,7 @@ def test_write_manifest(
 
         expected_metadata = {
             "schema": test_schema.model_dump_json(),
-            "partition-spec": """[{"source-id":1,"field-id":1,"transform":"identity","name":"VendorID"},{"source-id":2,"field-id":2,"transform":"identity","name":"tpep_pickup_datetime"}]""",
+            "partition-spec": """[{"source-id":1,"field-id":1000,"transform":"identity","name":"VendorID"},{"source-id":2,"field-id":1001,"transform":"day","name":"tpep_pickup_day"}]""",
             "partition-spec-id": str(demo_manifest_file.partition_spec_id),
             "format-version": str(format_version),
         }
@@ -497,8 +490,8 @@ def test_write_manifest(
         }
         assert data_file.nan_value_counts == {16: 0, 17: 0, 18: 0, 19: 0, 10: 0, 11: 0, 12: 0, 13: 0, 14: 0, 15: 0}
         assert data_file.lower_bounds == {
-            2: b"2020-04-01 00:00",
-            3: b"2020-04-01 00:12",
+            2: b"\x01\x00\x00\x00\x00\x00\x00\x00",
+            3: b"\x01\x00\x00\x00\x00\x00\x00\x00",
             7: b"\x03\x00\x00\x00",
             8: b"\x01\x00\x00\x00",
             10: b"\xf6(\\\x8f\xc2\x05S\xc0",
@@ -512,8 +505,8 @@ def test_write_manifest(
             19: b"\x00\x00\x00\x00\x00\x00\x04\xc0",
         }
         assert data_file.upper_bounds == {
-            2: b"2020-04-30 23:5:",
-            3: b"2020-05-01 00:41",
+            2: b"\x06\x00\x00\x00\x00\x00\x00\x00",
+            3: b"\x06\x00\x00\x00\x00\x00\x00\x00",
             7: b"\t\x01\x00\x00",
             8: b"\t\x01\x00\x00",
             10: b"\xcd\xcc\xcc\xcc\xcc,_@",