Services
I work with mid-market companies, roughly $10M to $200M in revenue, that need a data team's output before they can justify a data team's payroll. Engagements run through Data Pipeline Builders.
Fractional Data Leadership
The senior data hire you are not ready to make full time. I set the roadmap, define the metrics, and stay accountable for whether the numbers hold up.
- Metric definitions your finance and GTM teams actually agree on
- Data roadmap tied to board reporting, not tool adoption
- Vendor and build-versus-buy decisions with the cost work shown
- Hiring plans and interview loops when it is time to bring it in house
Managed Data Platform
A production warehouse without a platform team. Delivered through PipeHouse, my managed Snowflake, dbt, and ingestion stack.
- Snowflake warehouse provisioned per client, with cost guardrails
- Ingestion from CRM, billing, and accounting via dlt and Portable
- dbt models layered staging to marts to metrics, tested at every layer
- Monitoring and alerting so you hear about a broken sync before your CFO does
AI Agents on Governed Data
Most AI analytics projects fail because the model is pointed at raw tables. I build the harness that makes the answers defensible.
- MCP servers exposing tested models, never the raw warehouse
- One definition per metric, enforced in the semantic layer
- Pre-computed variance, churn, and anomaly analysis
- Evaluation on questions your team actually asks
Analytics Engineering & Migrations
Hands-on work when you have a stack already and it is not doing what you need.
- PopSQL migrations onto PipeQL, with query history preserved
- dbt project audits, refactors, and test coverage
- Revenue, churn, pipeline, and cash flow modeling
- Dashboard and semantic layer rebuilds in Looker or Lightdash
Interested in working together?
Tell me what breaks in your reporting today. If I am not the right fit I will say so, and usually point you somewhere better.
Get in touch