§ Services
We implement the modern data stack end to end, and we are deliberately not good at anything else.
Pipelines written as plain Python and orchestrated as Dagster assets, from SaaS tools, databases and files into your warehouse. Version-controlled, testable, and readable by any Python developer.
You get
Python · Dagster assets · dlt where it fits
Layered SQL models with tests, lineage and living documentation. Every column that matters has a definition next to the code that produces it.
You get
dbt · SQL
Scheduling, retries, dependency-aware runs and alerting, so a failure is a notification and not a surprise.
You get
Dagster
Environments, roles, networking and cost controls as code. Plans are reviewed by a person before anything is applied.
You get
Terraform · your cloud
Semantic models and reports under version control, with descriptions kept in sync with the models underneath.
You get
Power BI · your BI tool
If you have engineers, we pair with them and leave behind the workflow and AI tooling that makes one person ship what used to need a squad.
You get
Your team, your repo
§ An engagement
Illustrative shape of a typical engagement. Yours is scoped in writing before we start.
A short call and a look at what you have. You get a plain-English plan, a fixed scope and a date.
Repo, environments and CI stand up first, so everything after lands on rails.
Sources flow, models are tested, and the first reports show real numbers. You watch pull requests arrive.
Documentation, runbooks and a recorded walkthrough. Then it is entirely yours.
Product work and ongoing support are available and optional. The code never depends on them.