Creating Simple ETL Pipeline - Learning Project

This project demonstrates a simple ETL (Extract, Transform, Load) pipeline using Apache Airflow, PostgreSQL, and Docker. The pipeline extracts data from a source, transforms it to meet business requirements, and loads it into a PostgreSQL database. Docker is used to containerize the application, ensuring portability and ease of deployment. The project showcases the use of Airflow for scheduling and monitoring workflows, ensuring data consistency and invariance. This is an excellent example of applying data engineering concepts in a practical scenario.