Data Strategy · Engineering · Delivery

Strategy that
actually ships.

You don't need a consultant who hands you a roadmap and leaves. You need someone who builds what's on it. That's the whole model.

Start a conversation → See what I build
No 60-slide decks
Ever.
We diagnose it
We build it.
We hand it over
We're done.
You own it
Fully.
The problem

The consulting model
is broken for you.

You pay for a strategy you still have to execute.

A consultant spends 8 weeks diagnosing your data stack, then hands you a 60-slide deck. Now you need to find someone to actually build it — if you can afford to.

Dev shops don't understand your business.

You hire an agency to build. They need 4 weeks of spec-writing to understand what you actually need. Half of what ships is wrong. Change orders stack up.

You need both. Most people charge for both.

Senior data expertise. Engineering execution. Delivered together, fast. That's what mid-market companies and startups actually need — and don't get.

Hiring is slow and expensive.

A senior data engineer costs $180K+ and takes 3 months to hire. A data architect another $160K. You need the problem solved now, not in Q4.

How it works

Problem in. Working software out.

01

You describe the problem

One conversation. No intake forms. Tell me what's broken or what you need to build.

02

I scope the work

Straight answer on what it takes: timeline, cost, what done looks like. No discovery retainer.

03

Agents go to work

Agentic AI + senior engineering judgment means I move at a pace a traditional shop can't match.

04

You get the thing

Not a deck. Not a recommendation. Working software, clean data, shipped.

What I build

Five things. Done well.

🏗

Data Infrastructure

Cloud data platforms, warehouses, lakehouses, pipelines. Built from scratch or migrated from legacy. Production-grade from day one.

Snowflake dbt Airflow AWS / GCP Kafka
🛡

Governance & Quality

Data ownership, access controls, quality rules, and cataloguing. The unglamorous work that makes everything else reliable.

Data Catalog Lineage DQ Monitoring Access Mgmt
📊

Analytics & Reporting

From operational dashboards to self-serve BI. Semantic layers, metrics frameworks, and reporting that actually gets used.

Looker Tableau Power BI Metabase Hex
🤖

AI & ML Delivery

ML models that actually go to production. Forecasting, optimization, classification. Built on clean data, deployed properly.

Python MLflow SageMaker LLM Integration
🎯

Fractional Data Leadership

Need a data strategy but not a full-time CDO? I plug in at the leadership level, set direction, and keep the team honest.

Fractional CDO Roadmapping Team Building
Who this is for

Two types of company.
Same problem.

Target 01

Mid-market companies without a data team

You've outgrown spreadsheets and dashboards that nobody trusts. You need real infrastructure and real analytics — but you can't justify a 4-person data org yet.

  • Your BI tool is telling three different versions of revenue
  • Engineers are doing analyst work because no one else can
  • You made a bad hire and now data is politically complicated
  • You need to show the board a data strategy in 60 days
Target 02

Startups that need data infra, fast

You're scaling and your data is a mess. You need someone who can set up the foundation correctly — without slowing down engineering or burning 6 months on discovery.

  • Your data warehouse is a Notion doc and a few Colab notebooks
  • You're Series A and investors are asking data questions you can't answer
  • You need a production ML model but don't have the infrastructure
  • You want it done right the first time, not redone in 18 months
Get started

Tell me what
you're trying to build.

No intake form. No sales call. Just a straight conversation.


Or just describe the problem — even a rough one. That's enough to start.