The data and AI landscape is filled with traps. Vendors selling tools designed for lock-in. Consultants selling scope that benefits from complexity. I help operators and CFOs build lean platforms that leave your team with capabilities, not dependencies.
Dan is a trusted colleague who can quickly translate data architecture into real operating leverage. He focuses on what matters to sponsors: cost discipline, operational visibility, and reliable data.Chad Hensley · CFO
“A company like ours simply doesn’t have the skillset to set this up. We tried two different approaches with external resources, but never got close.”SVP of Strategy · PE-backed software
“A terrific resource to help us think about what is possible and then the resources to get it done. The platform has motivated our team to elevate its internal capabilities.”CFO · PE-backed software
I work with companies that want to get on the right side of data and AI but aren't sure how. I figure that out. I assess the business, the team, the gaps, and then I tell you what you need, even if the answer isn't me.
I design and build what fits. Engineering discipline so it scales, cost discipline so you invest in people, not tools. Your team owns the result.
A product-critical Snowflake environment, optimized without disrupting operations.
Identified structural inefficiencies in a large production Snowflake environment supporting product workloads. Pragmatic architecture changes delivered validated, recurring savings without disrupting operations.
One-time scope, converted to repeatable internal work.
A portfolio company needed a complex customer analysis that external consultants scoped at over $300K. Built the data foundation that let the company’s own team produce the analysis internally, turning a one-time project into a repeatable capability.
Shared infrastructure, standardized reporting, scalable foundation.
Designed and implemented a shared data infrastructure that gave a PE firm’s internal team visibility across their entire portfolio. Standardized reporting, reduced manual work, and created a foundation that scales with each new acquisition.
I started in kitchens, not data. I taught myself data engineering because a vendor couldn't deliver what they promised, and I've been building data platforms for growth-stage and PE-backed companies ever since. I bring an operator's understanding of how businesses run, an engineer's discipline, and a craftsman's refusal to build something I wouldn't put my name on.
I founded Danalytics to do it differently. I set the strategy, I build the platform, and I stand behind both.
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