Beyond the CSV Upload: Building Resilient Data Pipelines

Bulk imports often fail in production due to fragile validation and a lack of idempotency, causing data corruption during retries. Implementing stable-key upserts and early normalization ensures that data pipelines remain reliable and self-healing even when processes are interrupted.