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Case study · in production Data & analytics

The dashboard was undercounting. Every table.

Metrics pipeline audit & backfill

Data quality1 engineerShipped to production

The problem

Two systems disagreed about what counted as a completed event. The snapshot pipeline used a stale five-status definition while the product recognized nine — so every downstream metric silently undercounted, for months.

The system

An audit that diffed pipeline definitions against the product’s source of truth, quantified the gap on production data, then fixed the canonical definition, enriched the schema, and backfilled history — with before/after counts published for every table.

How it's built

Delivery

Investigated, fixed, and backfilled by one engineer in days — the kind of unglamorous correctness work dashboards depend on.

Results

Client anonymized by industry. Detailed numbers and references available on a call.

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