Stay in our lane.
We make data easy and trusted. That's it. Analytics, dashboards, business decisions — those are your team's job, and they should stay that way.
for Pharma
About DataKitchen
DataKitchen has been engineering reliable, analyst-ready commercial pharma data since the Celgene days. The team is bootstrapped, fully remote, and unusually opinionated about how data engineering should work for a pharma analytics organization.
At a glance
What we believe
We make data easy and trusted. That's it. Analytics, dashboards, business decisions — those are your team's job, and they should stay that way.
Every line of code, every test, every schema, every dashboard configuration lives in your cloud and your repositories. When your IT team is ready to take over, the handoff is a normal day.
Generic IT outsourcing is wrong-shaped for commercial pharma data. Our engineers know NPP, payer claims, specialty pharmacy, syndicated data, and Veeva on day one.
Our DataOps platform generates and runs the tests, orchestrates the deployments, and catches errors before they reach your analysts. Small senior team, large output.
Leadership
Same founders, same engineering bar since 2013. When you book an intro call, you talk to one of the four people below — not an account executive.
CEO & Head Chef
The "Head Chef." Co-founder and CEO. Leads the DataOps movement; co-authored the DataOps Cookbook and the DataOps Manifesto. Background: MIT Lincoln Lab, NASA Ames.
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Co-Founder & VP of Products & Implementation
Co-founder and VP of Products & Implementation. 35+ years in software engineering, including AT&T Bell Labs and Sybase. Owns the commercial-pharma practice and stays close to every active engagement.
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Co-Founder & VP of Services
Co-founder and VP of Services. 25+ years leading data services and software teams. The senior engineer behind most of our pharma launches; the person you're likely to meet on a Tuesday status call.
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Director of Data Engineering and Quality Solutions
VP of Data Engineering. Principal architect of TestGen (our open-source data quality testing tool). 30+ years on OLTP, warehousing, and analyst-ready data design — the engineering bar across every pharma platform we ship.
LinkedInHalf an hour with the team. Bring your stack, your launch window, and your hardest analytics question. We'll do the rest.