Scattered systems, stale reports, and numbers that never agree are why AI and analytics projects stall. We build the pipelines that unify your data into one governed model — the foundation every model, dashboard and decision depends on.
One pipeline, one source of truth
Ingest · transform
dbt · tests · lineage
Warehouse
governed · modelled
systems unified into one model
reporting that was monthly
leakage a unified view surfaced
source of truth for BI, ML & apps
What data pipeline engineering includes
Four layers that take you from a dozen disconnected systems to one trusted source of truth.
A connector per source — CRM, ERP, events, files, third-party APIs — landing reliably in one place, batch or streaming.
Clean, joined and modelled data (dbt-style) so a 'customer' or a 'margin' means the same thing everywhere.
Tests, validation, lineage and access controls — so the numbers are trusted and every figure traces to its source.
A governed warehouse that serves BI, ML and applications from the same modelled data — no more conflicting reports.
How we build it
We land value per source rather than big-bang — so the platform pays off before it's even finished.
Inventory your systems and build reliable connectors that land raw data in one warehouse without losing fidelity.
Transform raw data into a clean, documented model, with automated tests so quality is enforced, not hoped for.
Add lineage, access controls and data-quality monitoring so the platform is trustworthy and auditable.
Expose one governed model to BI, ML and apps — so analytics, AI and reporting all run on the same truth.
A data platform, in production
An enterprise dental network had grown by acquisition into a dozen incompatible systems, with a profit picture that arrived monthly and weeks late. We built the connectors and the governed warehouse — and a unified view that paid for itself many times over.
BrightSmile Partners
Dental practice network · 214 locations · North America
Practices unified
Reporting (was monthly)
Leakage recovered, yr 1
Avg. margin lift
“We were running a 214-practice business on a month-old spreadsheet. Now I can see every location this morning, and the system tells me where the money is leaking before it's gone. The first year paid for the platform many times over.”
Straight answers
Because every model, dashboard and AI feature is only as good as the data under it. Scattered, inconsistent, stale data is why analytics projects stall. We build the pipeline that makes everything downstream possible — and trustworthy.
Yes — that's the core of the work. We build a connector per source, normalise them to one model so a metric means the same thing everywhere, and land it in a governed warehouse. The messier the estate, the more the unified view is worth.
Whatever the decision needs. Some data justifies streaming and real-time; plenty is fine on a schedule. We right-size it so you're not paying for real-time where daily is enough.
Tests, validation and lineage are built in. Every metric traces back to its source, data-quality checks run on each load, and bad data is caught before it reaches a dashboard or a model.
No. We build on open, portable tooling (e.g. dbt, standard warehouses) and hand over documented pipelines you own and your team can run. No black boxes.
Tell us about your systems and the reports that never agree. We'll come back within 24 hours with a pipeline plan and a path to one source of truth.
2000+ vetted engineers · 3 global hubs · 98% client retention
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