Documentation

This directory contains all project documentation organized by category.

📋 Documentation Summary

This site provides comprehensive documentation for the Ohpen Data Engineer Case Study, including:

• 📖 Overview - Executive summary, business case, and implementation guide
• 📋 Project Tasks - Five core deliverables: Data Ingestion & Transformation, Data Lake Architecture, SQL Analytics, DevOps & CI/CD, and Communication & Documentation
• 📚 Reference Materials - Complete appendices with ETL diagrams, pseudocode, SQL examples, CI/CD workflows, and governance documentation
• 🔧 Technical Guides - Testing strategies, AWS services analysis, and PySpark implementation details
• 📧 Communication - Stakeholder communications and presentation materials

Documentation Structure

Structure

docs/
├── submission/          # Core submission documents
│   ├── EXECUTIVE_SUMMARY.md
│   ├── BUSINESS_CASE_SUMMARY.md
│   └── HANDOUT.md
│
├── guides/             # Submission and packaging guides
│   ├── SUBMISSION_GUIDE.md
│   ├── PACKAGE_SUMMARY.md
│   └── CODE_APPENDIX_README.md
│
└── technical/          # Technical documentation
    ├── TESTING.md
    └── AWS_SERVICES_ANALYSIS.md

Categories

📄 Submission (submission/)

Core documents that are part of the actual submission:

• EXECUTIVE_SUMMARY.md - High-level overview and assumptions
• BUSINESS_CASE_SUMMARY.md - Business case summary
• HANDOUT.md - Interview presentation handout

📋 Guides (guides/)

Documentation about how to package and submit:

• SUBMISSION_GUIDE.md - Two-part submission strategy
• PACKAGE_SUMMARY.md - Summary of created packages
• CODE_APPENDIX_README.md - Code appendix documentation

🔧 Technical (technical/)

Technical documentation and analysis:

• TESTING.md - Testing approach and strategy
• AWS_SERVICES_ANALYSIS.md - AWS services analysis

Quick Reference

For Submission

• Start with the Executive Summary for a high-level overview
• Review the Business Case Summary for solution components
• Check the Handout for presentation materials

Core Documents

• Task 1: ETL Flow - Data ingestion and transformation pipeline
• Task 2: Architecture - Data lake architecture design
• Task 3: SQL Breakdown - SQL query for balance history
• Task 4: CI/CD Workflow - DevOps and CI/CD implementation
• Task 5: Communication - Stakeholder communication templates

Technical Details

• Testing Guide - Comprehensive testing approach and strategy
• AWS Services Analysis - AWS services evaluation and recommendations
• PySpark Implementation - PySpark migration and optimization details