For small or 1-person 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
Lay the foundation for an AI-ready data warehouse in 8 weeks, without adding headcount or an open-ended agency contract.
- Know exactly where your setup stands
- One pipeline built end to end
- Standards documented for everything after
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Start on your own
Resources
Free guides & checklists built on the same patterns I use with clients, so you can build yours with structure and confidence.
- Score your setup against 20 essentials
- Structure a model that holds up
- Set up dbt™ without the rework
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.
