Data engineering is more than writing scripts

A data analyst transitioning to data engineering built a production-ready ETL pipeline and discovered three critical failures. Each failure revealed lessons that scripting alone could not teach. The original CSV-based pipeline broke under real-world demands, exposing gaps in error handling, scalability, and data integrity.