The model is only as good as the table underneath it.
Databricks is where the heavy data work goes — the pipelines, the transformations, the model that needs more than a warehouse query. We build the layer that makes the output worth trusting, and the contracts that keep it that way.
A lakehouse is not a definition.
Getting the data in is the part everyone budgets for. What decides whether anyone uses the output is whether customer, active and revenue mean one thing across every table that claims to hold them.
Clean enough to trust.
DatabricksWhat we build.
Ingestion from the systems of record
CRM, billing, product and support landed reliably, with schema changes handled rather than discovered when a dashboard empties.
Modelled tables with contracts
Entities and metrics defined once, tested and versioned, so a change upstream fails loudly instead of quietly rewriting last quarter.
Governance and access
Who can read what, why, and with what audit trail — decided against the compliance surface the business actually has.
AI on data you can defend
Models scoped to a decision and a number they move, wired into tables whose definitions someone has signed off.
The path back to the operators
Modelled output pushed back into the CRM and the tools people work in, so the analysis reaches a decision instead of a dashboard.
Map, define, build, hand over.
Map
Sources, owners and the questions the business cannot currently answer, ranked by what a wrong answer costs.
Define
Entities and metrics written as testable definitions, with an owner against each one.
Build
Ingestion, modelled tables and tests, with alerting that names the table and the owner when something drifts.
Hand over
Documentation, the tests, and a period running it alongside your team until a full reporting cycle has passed through it.
The pilot works. The second one does not.
The first model gets built against a hand-cleaned extract. The second one meets the real pipeline, and the reason it fails is always the same — nobody owns the definitions. We build that ownership in before the second project needs it.
