What we do · 01

Turn raw data into foundations you can trust.

Most data problems aren't analysis problems — they're plumbing problems. Brittle jobs, undocumented tables, and two dashboards that disagree about last month's numbers. We build the layer underneath, so the work sitting on top of it holds up.

Where we usually come in

Signs the foundation needs work.

If more than a couple of these sound familiar, the problem is underneath the dashboards — not in them.

  • Two reports disagree, and nobody can say which one is right.
  • A pipeline breaks and you hear about it from a stakeholder, not an alert.
  • Adding one new data source takes weeks, and none of the work is reusable.
  • Exactly one person understands the warehouse, and they're on vacation.
  • Analysts spend more time cleaning data than answering questions with it.
  • The monthly bill keeps climbing and nobody can attribute the increase.
What we build

Four layers, built to be handed over.

Scope what you need. Each piece stands alone, and all of it is documented well enough that your team can extend it without calling us.

01

Pipelines and ingestion

Batch and streaming ingestion that can be replayed, backfilled, and still understood six months from now.

  • Source integration and change capture
  • Idempotent, incremental loads
  • Orchestration, scheduling, and retries
  • Replayable backfills
02

Warehouses, lakes, and platforms

A modeled layer with clear boundaries between raw landing data and the tables your business actually reads.

  • Dimensional and layered modeling
  • Raw, staging, and mart separation
  • Partitioning, performance, and cost control
  • Semantic layers and access patterns
03

Governance, quality, and observability

Tests and alerts that catch bad data before a person does — and a paper trail for where every number came from.

  • Data tests, contracts, and validation
  • Freshness, volume, and schema monitoring
  • Lineage and living documentation
  • Access control and PII handling
04

Migration and modernization

Getting off a brittle system without one terrifying cutover weekend.

  • Current-state mapping and dependency audit
  • Parallel running and reconciliation
  • Incremental cutover, domain by domain
  • Decommissioning what's left behind
How we work

Stabilize first. Then build to last.

We don't start with a replatforming proposal. We start by finding out what's actually breaking and why.

Map what exists

Sources, consumers, and every place a number comes from. This is often the first real documentation a team has.

Stop the bleeding

Fix the job that wakes people up at night before we build anything new on top of it.

Build the durable layer

Model it once, with tests, so the next question doesn't need a new pipeline to answer it.

Hand over the keys

Runbooks, documentation, and a team that can extend the platform without us. No lock-in.

Let's look at what you've got.

Tell us what's breaking and what you wish you could answer. We'll tell you what it takes to get there.

Book a call