Foundations, models, monitoring, and analytics. AI does the legwork; a senior engineer reviews every change.
A focused call on your data, your pain points, and the highest-value next step, whether or not we work together.
Book the assessment Fixed scope · 1 to 2 weeksA senior review of your dbt project, a prioritized fix list, and example PRs that show the way forward.
Ask about the auditA platform that fits how your team works.
Warehouse-centred stacks and the pipelines that feed them, built new or modernized from what you already have.
Numbers nobody has to double-check.
Business logic written once in dbt, tested, documented, and easy for your team to extend.
Know what to fix first, and fix it sooner.
Agents read your repo and draft tests, docs, and fixes. We verify every finding. The fixed-scope dbt audit is the easiest way in.
Hear about broken data before your stakeholders do.
An agent loop watches your dbt runs and warehouse, triages failures, and drafts fixes. A human approves every change.
Answers leaders can act on, from one set of metrics.
Dashboards and reporting on governed metrics, plus a plain-English assistant that answers from those same approved numbers.
Sensitive data protected, analysts kept moving.
Access and compliance controls built into the platform instead of bolted on later.
Ways to work: a fixed-scope audit, a defined project, or fractional analytics engineering on a monthly retainer, including team enablement through code review, pairing, and mentoring.
dbt, Snowflake, Databricks, and the rest of the modern data stack, whatever you already run.
Credentials · dbt Certified Developer
AI speeds up the slow parts: reading unfamiliar repos, writing tests and docs, converting legacy SQL. It never replaces review.
The free assessment points to the best next step. Already running dbt? Go straight to the audit.