You know AI analytics is the future. But your data models are messy, your pipelines are fragile, and your team isn't sure what to build first. I help data teams and founders audit, map, and build the right data foundations — so you can ship analytics that actually work.
If any of these hit, you're in the right place.
dbt models are duplicated, undocumented, and nobody trusts the outputs. Every AI initiative starts with "let's fix the data first" — and nothing ships.
There are 50 things to fix and no clear priority. Should you start with ingestion, modeling, or the semantic layer? Analysis paralysis sets in.
Analysts can write SQL but can't build production pipelines. Engineers don't understand analytics modeling. The gap slows everything down.
A clear, three-step engagement — no vague "consulting," just outcomes.
I assess your current data stack, dbt models, pipelines, and analytics workflows. You get a clear picture of what's working, what's broken, and what's missing — with specific recommendations.
I design your data foundation roadmap — the right models, the right semantic layer, the right ingestion patterns. You get a prioritized plan that tells you exactly what to build and in what order.
I implement the first few workflows with your team — production dbt models, working pipelines, a semantic layer that actually serves your analytics. Your team learns by doing, not by watching.
Not theory. Real projects, real code, real experience.
Book a free 30-minute call. We'll map out your biggest data bottleneck and what it'll take to fix it.
Book a call →