Your data exists but it doesn't reach the people who need it. Models are tangled, pipelines break, and every dashboard request becomes a ticket queue. I help data teams and founders build self-serve analytics — so your people stop waiting on engineering and start making decisions with data they trust.
If any of these hit, you're in the right place.
Your team needs data but can't get it without filing a request. Analysts wait days for a query. Leaders fly blind. The bottleneck is you — and you're stretched thin.
dbt models are duplicated and undocumented. Two dashboards show different revenue. Every meeting starts with "which number is right?" — and ends without an answer.
Data flows in but something always breaks upstream. A schema change, a null field, a silent failure. Your team spends more time fixing pipelines than building analytics.
A clear, three-step engagement — no vague "consulting," just outcomes.
I assess your data stack, models, pipelines, and analytics workflows. You get a clear picture of what's working, what's broken, and what's blocking your team from self-serving — with specific recommendations.
I design your data enablement roadmap — the right models, the right semantic layer, the right self-serve patterns. You get a prioritized plan that tells you exactly what to build so data flows to the people who need it.
I implement the first workflows with your team — production dbt models, reliable pipelines, a semantic layer that serves analytics, self-serve dashboards that don't need a data engineer to maintain. Your team learns by doing.
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.
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