From Data Chaos to Pipeline Order: Building Production-Grade ETL Systems

This project demonstrates why data engineering extends far beyond simple data movement—it requires orchestration, validation, and reliability mechanisms at every stage. By implementing an end-to-end pipeline with Airflow and BigQuery, the engineer illustrates how modern data systems achieve trustworthiness, crucial for organizations relying on analytics to make decisions. The 82.5% storage reduction and zero data quality issues after transformation showcase the real-world impact of thoughtful ETL design.