Dockerized ETL Pipeline with PostgreSQL

The Challenge

ETL processes often break due to environment inconsistencies between development, testing, and production. Dependencies, database connections, and configurations differ across machines, making pipelines fragile.

The Solution

Built a containerized ETL pipeline using Docker and Docker Compose that packages the entire data workflow — extraction, transformation, and loading into PostgreSQL — into reproducible, isolated containers. A single command spins up the full environment.