diff --git a/tests/pyathena/sqlalchemy/test_base.py b/tests/pyathena/sqlalchemy/test_base.py
index 7013591b..7419aeda 100644
--- a/tests/pyathena/sqlalchemy/test_base.py
+++ b/tests/pyathena/sqlalchemy/test_base.py
@@ -17,7 +17,7 @@
 from sqlalchemy.sql.schema import Column, MetaData, Table
 from sqlalchemy.sql.selectable import TextualSelect
 
-from pyathena.sqlalchemy.types import TINYINT, AthenaStruct, Tinyint
+from pyathena.sqlalchemy.types import TINYINT, AthenaArray, AthenaMap, AthenaStruct, Tinyint
 from tests.pyathena.conftest import ENV
 
 
@@ -1997,3 +1997,145 @@ def test_compile_temporal_query_by_timestamp_with_hint(self, engine):
             f"SELECT count({ENV.schema}.{table_name}.col_1) AS count_1 \n"
             f"FROM {ENV.schema}.{table_name} FOR VERSION AS OF '{timestamp}'"
         )
+
+    def test_create_table_with_array_types(self, engine):
+        """Test DDL compilation for ARRAY types."""
+        engine, conn = engine
+        table_name = "test_create_table_with_array_types"
+        table = Table(
+            table_name,
+            MetaData(schema=ENV.schema),
+            Column("id", types.Integer),
+            Column("tags", AthenaArray(types.String)),
+            Column("scores", AthenaArray(types.Integer)),
+            Column("nested_arrays", AthenaArray(AthenaArray(types.String))),
+            Column(
+                "struct_array",
+                AthenaArray(AthenaStruct(("name", types.String), ("age", types.Integer))),
+            ),
+            awsathena_location=f"{ENV.s3_staging_dir}{ENV.schema}/{table_name}/",
+            awsathena_file_format="PARQUET",
+        )
+
+        # Test DDL compilation
+        create_ddl = CreateTable(table).compile(dialect=engine.dialect)
+        ddl_string = str(create_ddl)
+
+        # Verify ARRAY types are correctly compiled
+        assert "tags ARRAY<STRING>" in ddl_string
+        assert "scores ARRAY<INTEGER>" in ddl_string
+        assert "nested_arrays ARRAY<ARRAY<STRING>>" in ddl_string
+        assert "struct_array ARRAY<ROW(name STRING, age INTEGER)>" in ddl_string
+
+    def test_create_table_with_map_types(self, engine):
+        """Test DDL compilation for MAP types."""
+        engine, conn = engine
+        table_name = "test_create_table_with_map_types"
+        table = Table(
+            table_name,
+            MetaData(schema=ENV.schema),
+            Column("id", types.Integer),
+            Column("attributes", AthenaMap(types.String, types.String)),
+            Column("metrics", AthenaMap(types.String, types.Integer)),
+            Column(
+                "complex_map",
+                AthenaMap(
+                    types.String, AthenaStruct(("value", types.String), ("count", types.Integer))
+                ),
+            ),
+            Column("nested_map", AthenaMap(types.String, AthenaArray(types.String))),
+            awsathena_location=f"{ENV.s3_staging_dir}{ENV.schema}/{table_name}/",
+            awsathena_file_format="PARQUET",
+        )
+
+        # Test DDL compilation
+        create_ddl = CreateTable(table).compile(dialect=engine.dialect)
+        ddl_string = str(create_ddl)
+
+        # Verify MAP types are correctly compiled
+        assert "attributes MAP<STRING, STRING>" in ddl_string
+        assert "metrics MAP<STRING, INTEGER>" in ddl_string
+        assert "complex_map MAP<STRING, ROW(value STRING, count INTEGER)>" in ddl_string
+        assert "nested_map MAP<STRING, ARRAY<STRING>>" in ddl_string
+
+    def test_create_table_with_struct_types(self, engine):
+        """Test DDL compilation for STRUCT types."""
+        engine, conn = engine
+        table_name = "test_create_table_with_struct_types"
+        table = Table(
+            table_name,
+            MetaData(schema=ENV.schema),
+            Column("id", types.Integer),
+            Column(
+                "user_info",
+                AthenaStruct(
+                    ("name", types.String), ("age", types.Integer), ("email", types.String)
+                ),
+            ),
+            Column(
+                "nested_struct",
+                AthenaStruct(
+                    (
+                        "personal",
+                        AthenaStruct(("first_name", types.String), ("last_name", types.String)),
+                    ),
+                    ("preferences", AthenaMap(types.String, types.String)),
+                ),
+            ),
+            Column(
+                "struct_with_array",
+                AthenaStruct(
+                    ("tags", AthenaArray(types.String)), ("scores", AthenaArray(types.Integer))
+                ),
+            ),
+            awsathena_location=f"{ENV.s3_staging_dir}{ENV.schema}/{table_name}/",
+            awsathena_file_format="PARQUET",
+        )
+
+        # Test DDL compilation
+        create_ddl = CreateTable(table).compile(dialect=engine.dialect)
+        ddl_string = str(create_ddl)
+
+        # Verify STRUCT types are correctly compiled
+        assert "user_info ROW(name STRING, age INTEGER, email STRING)" in ddl_string
+        assert (
+            "nested_struct ROW(personal ROW(first_name STRING, last_name STRING), "
+            "preferences MAP<STRING, STRING>)" in ddl_string
+        )
+        assert "struct_with_array ROW(tags ARRAY<STRING>, scores ARRAY<INTEGER>)" in ddl_string
+
+    def test_create_table_with_complex_nested_types(self, engine):
+        """Test DDL compilation for complex nested combinations of ARRAY, MAP, and STRUCT."""
+        engine, conn = engine
+        table_name = "test_create_table_with_complex_nested_types"
+        table = Table(
+            table_name,
+            MetaData(schema=ENV.schema),
+            Column("id", types.Integer),
+            Column(
+                "data",
+                AthenaArray(
+                    AthenaMap(
+                        types.String,
+                        AthenaStruct(
+                            ("value", types.String),
+                            ("metadata", AthenaMap(types.String, types.String)),
+                            ("tags", AthenaArray(types.String)),
+                        ),
+                    )
+                ),
+            ),
+            awsathena_location=f"{ENV.s3_staging_dir}{ENV.schema}/{table_name}/",
+            awsathena_file_format="PARQUET",
+        )
+
+        # Test DDL compilation
+        create_ddl = CreateTable(table).compile(dialect=engine.dialect)
+        ddl_string = str(create_ddl)
+
+        # Verify complex nested type is correctly compiled
+        expected_type = (
+            "data ARRAY<MAP<STRING, ROW(value STRING, metadata MAP<STRING, STRING>, "
+            "tags ARRAY<STRING>)>>"
+        )
+        assert expected_type in ddl_string