Retail Data Quality Audit with Rule-Based ReconciliationRetail Data Quality Audit with Rule-Based Reconciliation
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Five retail sources, 1,070,374 records, 96 automated checks. Biggest defect: 47% of sales predate their product's launch, carrying 46% of $6.17B revenue. Every row fixed, flagged, or quarantined under a versioned rules contract; never deleted. Revenue reconciled to $0.00 unexplained variance, verified by four independent engines (pandas x2, MySQL, Power Query). Governed by a 23-entry decision log; least-privilege DB access. I bring this rigor to client data: audit first, document every change, reconcile to zero.
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The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started