Data Platform Build
Ingestion to warehouse to dashboards in weeks — for less than a hire's signing bonus
The problem
You need a real data platform. The alternatives are a $150–200k senior hire you'll spend months landing, or your product engineers losing a quarter to wiring up meter-priced defaults.
I design and build orchestrated pipelines (Dagster, Airflow) with retries, data-quality checks and observability, land the data in a warehouse sized to your workload rather than a per-query meter, and put a clean analytics layer on top. Lean by default: I run a platform of 4,912 backfilled partitions at 99.9% success — roughly 95 pipeline assets over 52 warehouse tables — on self-hosted infrastructure at near-zero marginal cost.
You get one person who builds and runs the entire stack, delivered in weeks — not a team you spend a year assembling, and not your product engineers pulled off the roadmap. I take one build at a time, and most builds start as audits: the $3,000 audit fee comes off the build price.