Data Warehouse Consulting
Platform selection, Snowflake implementation, training, or fixing what isn't working.
Don't know which data warehouse to choose
Names keep coming up and nobody can tell you which one fits.
Need a Snowflake data warehouse built
Platform decided. You need someone who has done this before.
Your team needs to run it themselves
Queries, dbt models, warehouse sizing, cost control, access and roles.
Your data warehouse isn't doing what it should
Slow, expensive, or the numbers don't match what you expect.
Can't get all your data into your warehouse
Some systems make their data hard to reach. I build the pipelines standard tools can't.
A full data warehouse starts from about $250 a month*.
That's everything running: the warehouse, the pipelines feeding it, the layer that shapes the data, and the dashboards.
What does a data warehouse actually look like?Demo on your data
After a call I'll send you a secure link. Drop in a slice of your data and you'll have a sample dashboard back within two business days. Free.
Building the data warehouse your team runs on is the next step.
Note: your data is only ever used for your demo, and I delete it once you've decided whether to move forward. NDA on request.
Warehouses I've built and improved
One source of truth for an entire business
Ecommerce and manufacturing
- Every sales and ad channel feeding one warehouse
- 30+ people working out of it daily
- Yesterday's numbers, every morning
- Still in use years after it was built
True margin, by product and customer
Finance and operations leadership
- What each order actually made, after ad spend, shipping and cost of goods
- Including the products quietly losing money
Asking the data questions instead of asking for a report
Leadership team
- Questions in plain English, answered from their own numbers
- Claude connected to the Snowflake warehouse they already had
- Running on their own servers
What you end up with
- Your systems feed one place on their own
- Your team gets dashboards they can trust
- The numbers match, because they're defined in one place
- Your team can run it without me
Standing up a new warehouse
- 1
Book a free 30 minutes Free
You'll know whether a warehouse is the right answer.
- 2
See it on your own data Two business days
Your own numbers in a working dashboard.
- 3
Pick the platform Before you commit
A recommendation, and what it costs to run.
- 4
Stand it up As little as three weeks
Dashboards your team opens, and you add sources as you go.
You own all of it.
- You own the accounts, the credentials, and the data.
- I document it so your team can pick it up.
- There's nothing of mine sitting in the middle that you keep paying for.
- Built to keep running for years.
I'll train your team to run the warehouse themselves.
Ask it a question in plain English.
Someone asks "what were margins by product line last quarter" and gets an answer from your own numbers. An AI tool can only answer that if something tells it what your business means by margin. That definition gets built into the warehouse, which is why the answer comes back usable.
Warehouse platforms
- Snowflake
- BigQuery
- PostgreSQL
Transformation and BI
- dbt
- Python
- Preset
- Superset
- Power BI
- Looker Studio
AI tools
- Claude Code
- OpenAI Codex
- GitHub Copilot
- OpenCode
- Snowflake CoWork
Book a free 30 minutes.
Tell me what you're trying to see and what you're running today. If a warehouse is the right answer, I'll tell you what it takes. If it isn't, I'll tell you that too.
When you don't need a data warehouse
- If it all lives in one system and there isn't much of it, you need better reporting. Data and Reporting
- If the actual problem is two systems that won't talk to each other, that's an integration job. Custom Software & Complex Integrations
- If nobody internally is going to open it, you'll have paid for something nobody uses.
Just want an outside opinion on a decision you've already made? That's a fine reason to call. No minimum.
*Note: These are platform costs only and don't include my time to build it. Estimates assume daily use at entry-level pricing, and your actual cost depends on how much data you have and how heavily your team uses it.
Platform pricing as of September 2026.