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data-auditing

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This project explores Snowflake’s Time Travel feature, including querying historical data using offsets, retention periods, and query IDs. It demonstrates restoring previous table states after updates, managing retention settings, and recovering data efficiently.

  • Updated Aug 17, 2025

Structured data-cleaning pipeline built on the Olist e-commerce dataset, focusing on reproducible ingestion, schema profiling, and light standardization using Python and pandas. Emphasizes clear pipeline stages, auditability, and portfolio-ready documentation.

  • Updated Feb 19, 2026
  • Python

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