Service
Stack audit for dbt teams.
One week. A written plan you can execute with or without me.
Who it's for
Your dashboards contradict each other and nobody can say which one is right. The important models were built by someone who left. Leadership is asking about putting AI on top of the stack, and the honest answer is that the data underneath is not ready.
You want a second set of eyes and a plan, not a rebuild before you know what needs rebuilding.
What you get
- →A written audit of your warehouse, dbt project, and reporting layer.
- →A prioritized punch list. What is dangerous, what is annoying, what is fine.
- →Recommendations you can hand to your team, or hire me to execute.
- →A walkthrough call so nothing in the writeup is a surprise.
How it runs
One week, start to finish. Read-only access to your warehouse (BigQuery, Snowflake, or Databricks) and your dbt repo. A kickoff call to make sure I understand what you actually care about.
Then I go dark for a few days. When I come back, you get the writeup and the walkthrough. Whatever we decide to do next is a separate conversation.
Related
Not sure the audit is the right first step? Take the AI-readiness assessment or read a recent case study.
Next step
Send me an email.
Tell me what's broken, or what you wish you could trust. I'll come back in a day or two with a scope.