readme

Author: JaskRendix

README.md

@@ -0,0 +1,104 @@
+# **Application Support Portfolio — Full‑Stack Banking Operations**
+
+This repository brings together four complementary projects that demonstrate the technical breadth, analytical mindset, and operational discipline expected from a senior Application Support professional in a banking environment.
+
+It showcases end‑to‑end capabilities across **ETL pipelines**, **operational tooling**, **backend diagnostics**, and **frontend support interfaces** — the core pillars of modern support for risk and finance applications.
+
+---
+
+# Repository Structure
+
+```
+/
+├── banking_data_pipeline_python/     # Credit Risk ETL (Python)
+├── it_ops_automation_toolkit/        # Shell + Python Ops Tools
+├── support-portal-backend/           # Spring Boot Support API
+└── support-portal-frontend/          # Angular Support Portal UI
+```
+
+Each module is self‑contained and can run independently.
+
+---
+
+# Project Overview
+
+## **1. Credit Risk ETL Pipeline (Python)**  
+A production‑style ETL that computes **Risk‑Weighted Assets (RWA)** using standard credit‑risk parameters (EAD, PD, LGD).  
+Includes data‑quality checks, logging, error handling, and SQLite output.
+
+**Run:**
+```bash
+pip install -e banking_data_pipeline_python
+python -m banking_data_pipeline.rwa_calculator
+```
+
+---
+
+## **2. IT Ops & Automation Toolkit**  
+A set of lightweight tools used for daily operational checks and incident triage.
+
+- `health_check.sh` — process, disk, and file monitoring  
+- `log_analyzer.py` — parses logs and summarizes WARN/ERROR/FATAL  
+
+These scripts reflect real support workflows: control points, monitoring, and rapid diagnostics.
+
+---
+
+## **3. Support Portal Backend (Spring Boot, Java 17)**  
+A REST API exposing transaction data and surfacing failures with clear error codes.  
+Includes health checks, filtering endpoints, and an H2 in‑memory database for fast prototyping.
+
+**Run:**
+```bash
+mvn clean spring-boot:run
+```
+
+---
+
+## **4. Support Portal Frontend (Angular)**  
+A simple UI for viewing system health and failed transactions.  
+Designed to give support teams quick visibility into issues.
+
+**Run:**
+```bash
+ng serve
+```
+
+---
+
+# End‑to‑End Flow
+
+The four modules together simulate a realistic support ecosystem:
+
+1. **ETL pipeline** processes credit‑risk data.  
+2. **Ops toolkit** monitors the environment and analyzes logs.  
+3. **Backend API** exposes diagnostic information.  
+4. **Frontend UI** presents it clearly for support teams.
+
+This mirrors the lifecycle of supporting a banking application:  
+**data → monitoring → diagnostics → user visibility**.
+
+---
+
+# Skills Demonstrated
+
+- Python (ETL, data quality, logging)  
+- SQL (SQLite, H2)  
+- Java (Spring Boot)  
+- Angular (TypeScript)  
+- UNIX Shell scripting  
+- Operational monitoring & log analysis  
+- Credit‑risk concepts (RWA, PD, LGD, EAD)  
+- Support‑oriented design and troubleshooting mindset  
+
+---
+
+# Purpose
+
+This monorepo serves as a compact, practical demonstration of:
+
+- Technical proficiency across the full support stack  
+- Ability to build tools that improve reliability and reduce MTTR  
+- Understanding of credit‑risk data flows  
+- Experience designing clear, support‑friendly diagnostics  
+- A structured, methodical approach to application support

banking_data_pipeline_python/README.md

@@ -17,7 +17,7 @@ RWA = EAD \times PD \times LGD \times 12.5
 
 ---
 
-## 🔍 Business Logic Highlights
+## Business Logic Highlights
 
 ### **Data Quality**
 - Negative exposures are automatically filtered out.
@@ -33,7 +33,7 @@ RWA = EAD \times PD \times LGD \times 12.5
 
 ---
 
-## 🚀 How to Run the Pipeline
+## How to Run the Pipeline
 
 ### **1. Install the package (editable mode recommended during development)**
 
@@ -100,7 +100,7 @@ bnp/
 
 ---
 
-## 🛠️ Tech Stack
+## Tech Stack
 
 - **Python 3.11**
 - **NumPy 1.26.4**

support_portal_backend/README.md

@@ -88,7 +88,7 @@ GET /api/support/transactions/status/{status}
 
 ---
 
-## 🗄 Using the H2 Database
+## Using the H2 Database
 
 ### Open the H2 Console  
 Navigate to: