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Healthcare Analytics · A healthcare analytics company
A production data quality framework
60%fewer data incidents
Challenge
Downstream teams were repeatedly tripped up by bad data reaching production — issues that should have been caught earlier were surfacing as incidents.
What I built
Designed and shipped a production data quality framework built on Great Expectations, with validation checks embedded directly in the pipeline rather than bolted on after the fact.
Outcome
Data quality incidents dropped by 60% after rollout.
Great ExpectationsData QualityPython
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