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# Most of Your Backfills Didn't Have to Happen

**[iamluminousmen](https://daily.dev/sources/luminousmen)** · 6 min read · 1 upvotes · 0 comments

## Summary

Most data pipeline backfills are preventable, not inevitable. The post categorizes backfills into three types: bug backfills (Type A, avoidable), schema-change backfills (Type B), and new data reconstruction (Type C). Type A backfills — the most common — stem from five root causes: non-idempotent pipelines, no raw data replay layer, missing schema validation at ingest, downstream tables that have drifted from their inputs via manual edits, and absent correctness monitoring. A practical test is proposed: measure how long and how many people it takes to regenerate a partition from three months ago. The answer reveals whether a team has a real data platform or just a collection of scripts that happened to work once.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://luminousmen.com/post/most-of-your-backfills-didnt-have-to-happen>

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---

Tags: [#backend](https://daily.dev/tags/backend), [#data-engineering](https://daily.dev/tags/data-engineering), [#data-quality](https://daily.dev/tags/data-quality)

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