AWS ETL Pipeline with Terraform CI/CD

A comprehensive ETL pipeline using AWS Glue, S3, and database scripts with Terraform-based CI/CD pipeline designed for easy management by junior developers.

📁 Project Structure

aws-etl-pipeline/
├── .github/
│   └── workflows/
│       ├── deploy-dev.yml
│       ├── deploy-staging.yml
│       └── deploy-prod.yml
├── glue_jobs/
│   ├── extract/
│   ├── transform/
│   └── load/
├── database/
│   ├── migrations/
│   ├── schemas/
│   └── scripts/
├── terraform/
│   ├── environments/
│   ├── modules/
│   └── shared/
├── config/
│   ├── dev.yml
│   ├── staging.yml
│   └── prod.yml
├── scripts/
└── docs/

🚀 Quick Start

Prerequisites

• AWS CLI configured
• Terraform >= 1.0
• Python 3.8+
• Docker (for local testing)

Environment Setup

1. Clone the repository

   git clone https://github.com/144853/aws-etl-pipeline.git
   cd aws-etl-pipeline

2. Configure environment variables

   cp config/dev.yml.example config/dev.yml
   # Edit config/dev.yml with your settings

3. Initialize Terraform

   cd terraform/environments/dev
   terraform init
   terraform plan
   terraform apply

For Junior Developers 👨‍💻👩‍💻

Simple Configuration Changes:

• Edit files in config/ directory to change environment settings
• Modify glue_jobs/ scripts for ETL logic changes
• Update database schemas in database/schemas/

Common Tasks:

• Add new Glue job: Copy template from glue_jobs/templates/
• Database changes: Add migration in database/migrations/
• Config updates: Edit YAML files in config/

🔧 Configuration Management

All configurations are centralized in YAML files for easy management:

• config/dev.yml - Development environment
• config/staging.yml - Staging environment
• config/prod.yml - Production environment

📚 Documentation

• Architecture Overview
• Deployment Guide
• Development Workflow
• Troubleshooting

🏗️ Architecture

graph TD
    A[Data Sources] --> B[S3 Raw Bucket]
    B --> C[AWS Glue ETL Jobs]
    C --> D[S3 Processed Bucket]
    D --> E[Data Warehouse/RDS]
    F[GitHub] --> G[GitHub Actions]
    G --> H[Terraform]
    H --> I[AWS Infrastructure]

Loading

🔄 CI/CD Pipeline

The pipeline automatically:

1. Validates Terraform configurations
2. Tests Glue job syntax
3. Deploys infrastructure changes
4. Updates Glue jobs and database schemas
5. Runs integration tests

🤝 Contributing

1. Create feature branch
2. Make changes
3. Test locally
4. Submit PR
5. Pipeline automatically deploys to dev environment

📞 Support

For questions or issues:

• Check docs/troubleshooting.md
• Create an issue in this repository
• Contact the data engineering team

📄 License

MIT License - see LICENSE file for details.