Less Stack.More Signal.
CRM, warehouse, and revenue-tool infrastructure for GTM teams without data engineers. Fractional data engineering that ships.
Is This a Fit?
- [✓]B2B SaaS ($5M–$50M ARR) with a marketing ops or RevOps team and no data engineer
- [✓]CRM data hours behind the warehouse — and sales has quietly stopped trusting it
- [✓]Attribution breaking at signup: SSO, forms, or paid traffic you can’t tie back to pipeline
- [✓]Paying for Fivetran, Hightouch, or Segment and still not getting what you need
- [✓]Two CRMs after an acquisition, and no single view of the customer
Begin with a discovery call and an infrastructure audit to define an accurate scope.
Typical Engagement Profile
I work primarily in Cybersecurity, EdTech, and B2B SaaS. The patterns repeat across verticals — if your revenue team knows what's broken but doesn't have anyone to fix it, that's the gap I fill.
Your GTM stack needs an engineering layer.
Connect your warehouse, CRM, and revenue tools so signals arrive on time, attribution holds up, and automations do not fail silently.
For teams with RevOps in place but limited data-engineering capacity.
Engagement Models
Implementation Projects
Hands-on execution of specific data infrastructure work. Scoped, documented, and delivered. No hand-holding required on your end.
Fractional Retainer
Ongoing data engineering coverage without full-time headcount. Weekly check-ins, on-call for incidents, strategic advisory on architecture decisions.
Tech Stack
Let's Build Something.
30-minute call. No pitch deck. Just an honest conversation about your data infrastructure.
→ Book a Call