Batch ETL Data Warehouse Modernization Led modernization of a legacy batch ETL pipeline into a sc...Batch ETL Data Warehouse Modernization Led modernization of a legacy batch ETL pipeline into a sc...
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Batch ETL Data Warehouse Modernization
Led modernization of a legacy batch ETL pipeline into a scalable AWS-based data warehouse. Replaced manual SQL jobs with an automated system loading diverse sources into Amazon Redshift.
Ingestion: Daily CSVs and API data land in S3; S3 events trigger Lambda to launch Glue Crawlers and update the Data Catalog.
Transformation: Glue PySpark jobs join and cleanse sales, inventory, and customer data, apply quality checks, and move errors to a quarantine path.
Output: Partitioned Parquet files stored in S3 for loading into Redshift.
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