What's included

• Flask Microservice

  A fully implemented Flask-based ETL microservice exposing RESTful endpoints for initiating, monitoring, and completing ETL tasks. Docker containerization of the microservice for easy deployment.

• ETL Pipeline Scripts

  Python scripts for data extraction, transformation, and loading operations. Configurable pipelines for different data sources and destinations.

• Deployment & Integration

  Flask application deployed to cloud or containerized environments (e.g., AWS, Google Cloud, Docker, Kubernetes). Configurations for database connections, API integration, and cloud storage setup.

• Documentation

  Clear and detailed API documentation for integrating with the ETL microservice, including authentication, data processing steps, and response formats

• Monitoring and Logging Setup

  Integration with logging tools (e.g., Loggly, Datadog) to track job statuses, errors, and system health. Setup for real-time monitoring of ETL jobs can be discussed.