Data Engineering, as a still-life

From raw events to defensible decisions.

Data Engineering

We bring scattered records into one reliable source of truth that reporting, automation and AI can all depend on. We choose tools your team can run without a dedicated data department.

Deliverables

What you get.

  • One source of truth replacing duplicate records
  • Reliable imports from spreadsheets and existing systems
  • Live dashboards and scheduled reports
  • Audit trails on the records that matter
Typical engagements

How it gets used.

  • Consolidating records from several intake channels
  • Reporting and dashboards over live data
  • Data clean-up and migration
Stack

The technologies we draw on.

We are unromantic about tooling. We pick what your team can run on a Tuesday.

  • Postgres
  • Supabase
  • Prisma
  • Drizzle
  • Stripe
  • Resend
Proof

Where this practice shipped.

Paired practices

Usually alongside.

Engagements rarely live in a single practice. These are the ones the projects above most often paired with this work.

Data Engineering

From raw events to defensible decisions.

Tell us what you are building and where this practice fits. The person who reads it is the one who would lead the work.