How I Built a Data Pipeline From Scratch Using Python
SMRTR summary
Building a reliable Python ETL pipeline means treating it as a system, not a script. This walkthrough covers all six stages: extraction with retry logic, raw storage for replay, pandas-based transformation, schema validation with pandera, batched loading to PostgreSQL, and orchestration via Apache Airflow — with each layer isolated, testable, and independently debuggable for production use.
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