For directors & leads of small data teams
Clean up the data behind your AI and reporting projects
Most small data teams are working with a messy, scattered setup that was never built to scale. I help them put the right modeling, structure and workflow in place.
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Work with me
Consulting
One pipeline, built properly, with the standards your team follows for everything after. Starts with an Architecture Audit.
- Architecture Audit & Scorecard
- Weekly working sessions
- Data Architecture Handbook
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Start on your own
Free guides
Guides and checklists based on 30+ implementations, covering the same patterns I use with clients.
- Modern data architecture
- Data modeling and dbt™
- A 20-point architecture checklist
Trusted by 30+ data teams
About
Hi, I'm Michael Kahan
I've been in data engineering since 2015, supporting data platforms at startups and large enterprises. Over time I kept seeing the same pattern: teams wanted to modernize, do more with AI, or get better answers out of their data, but the data underneath wasn't clean enough to support it.
I started Kahan Data Solutions in 2021 to help small data teams fix that. We clean up the data with the right modeling, structure and workflow, without over complicating it too early. I also teach data engineering on YouTube, where a lot of the patterns I use with clients started.
