Data Transformation
For teams whose data is messy, stale, or untrusted. Raw data isn't useful until it's transformed, documented & tested. We build the pipelines and models that get your data reliable enough that an analyst can ship a number without cross-checking five sources first.
Where we plug in
You have data but no one trusts it. Numbers disagree across reports. New analysts take months to onboard because the schema is undocumented and the joins live in someone's head. We build the layer that fixes that.
Deliverables
- Source-of-truth dimensional models
- Tested, documented dbt project
- Semantic / metrics layer
- Internal data catalog & lineage
- Data quality & freshness monitoring
- API endpoints for downstream apps
Typical engagement
6–12 weeks. Often runs in parallel with modernization or analytics work.
Common questions
What does a data transformation engagement actually produce?
A tested, documented dbt project with source-of-truth dimensional models, a semantic/metrics layer, and data quality monitoring. The bar we build to: an analyst can pull a number and ship it without cross-checking other sources first.
We already have pipelines. Why do numbers still disagree across reports?
Usually because the business logic (which orders count as revenue, when a customer counts as churned) is duplicated across dashboards instead of defined once in a modeled layer. We move those definitions into version-controlled, tested models so every report pulls from the same answer.
Do you work with our existing dbt project or start over?
We work with what you have when it's salvageable, which it usually is. A short audit tells us whether to refactor or rebuild, and we'll show you the reasoning either way before any SOW is signed.
How long does this take?
6–12 weeks for most scopes, often running in parallel with modernization or analytics work. Weekly demos, so you see the models and documentation grow rather than waiting for a big reveal.
Often paired with
Data Modernization
For teams on legacy systems that can't keep up.
Learn more →Analytics & BI
For teams whose dashboards exist but nobody opens them.
Learn more →Data Strategy
For teams about to make a large data investment.
Learn more →AI Consulting
For teams that have run pilots and want production systems.
Learn more →Working on something like this?
Tell us what's going on in a few sentences. A partner (not a salesperson) reads it and replies within one business day with a concrete next step, whether or not we're the right fit.