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.
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