After building data capability across dozens of PE-backed companies, I find the answer before most teams identify the problem. This is the shape of working together: what I do, how it runs, and on what terms.
I don’t sell services off a menu. I prescribe only what will work. By the time I price an engagement, I already know where the value is and how to activate it. If I can’t diagnose it, you won’t get a proposal for it. No vague phases. No generic decks. No six-figure discovery that leads nowhere.
Compasses, not maps.
Complex implementation plans don’t survive first contact with reality. I find the direction, define a first move that delivers real value, and ground every conversation and next step in something concrete.
Modules, not monoliths.
Every piece of work earns its place before the next one starts. You see results before you commit to more. This is what agile actually looks like when the principal is also the engineer. No sprints that deliver “architecture decisions.” No status reports substituting for shipped work.
Capabilities, not dependencies.
I build like someone who has to maintain the result, because I have. Every tool gets an owner, every workflow fits the people who use it, and nothing goes live that your team can’t own. Outcome, not handoff.
I design platforms your team can run. Every vendor wants to own your entire stack. Let them, and you’re usually driving a screw with a hammer. I match the tool to the job and the team to the tool.
Pipelines, transformations, data modeling. Getting data out of source systems and into a form your team can use. This is where most data projects quietly fall apart.
Most companies either don’t have infrastructure support or don’t allocate it to data projects, creating a gap that limits every decision you make. I fill that gap directly, whether it means deploying in your environment or providing Danalytics-hosted infrastructure.
Practical AI implementation. I run my entire operation on the same tools I implement for clients. Embeddings, retrieval, automation, and tooling that fits your actual workflow. Not a deck about what AI could do someday.
Most engagements combine a fixed-price project with an ongoing monthly retainer. The project covers the defined build. The retainer covers everything else: advisory, support, and whatever comes next.
Both are fixed-price. No hourly billing. You'll always know what an engagement costs before it starts, and what a month costs before it begins.
Share as much or as little as you want. I respond personally, usually within 24 hours.
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