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dibimbing-case-study-etl

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End-to-end Weather ETL built with Apache Airflow, MinIO, and PostgreSQL. Extract Open-Meteo hourly data → normalize to Parquet → load to L1/L2 tables with idempotent, backfillable DAGs, simple data checks, and SQL-only transformations.

Creat2025-10-15T16:09:54
Update2025-11-15T02:40:34
https://github.com/caesarmario/dibimbing-case-study-etl
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