[ Case study ]
Series-B fintechFintech2024
Client anonymized ~ composite engagement
A 60-person fintech closed the books in spreadsheets: Stripe exports, bank statements, and ledger dumps stitched by hand. The monthly close took nine working days, and product, finance, and the board each had a different revenue number.
We modeled a single warehouse on dbt and built idempotent Dagster pipelines for 14 sources with data-quality checks and freshness SLAs. A Metabase layer gave every metric one definition. Finance now reviews exceptions instead of assembling data.
The close dropped from nine days to two. Roughly 40 hours of monthly manual reporting disappeared, and six months in, the warehouse has had zero silent failures ~ problems alert before anyone asks.
Tell us where the pipeline hurts. We’ll scope it in one call ~ no deck, no fluff.