Data Pipelines

Trusted, analytics-ready data — without a data team.

We connect your sources, model your data, and keep it healthy on a modern stack. You get the numbers you can trust; we handle everything under them.

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How it works

From raw sources to trusted data in three phases

Onboard & set up

We connect your databases, SaaS tools, and APIs with Airbyte, provision object storage and a DuckLake catalog with Dagster orchestration in your cloud, and ship your first models fast.

Model & deploy

We turn raw data into well-tested staging and mart models in dbt and DuckDB, then deploy them on a schedule with data-quality tests, observability, and alerting.

Operate & evolve

We monitor and maintain the platform and fix breakages when upstream sources change. Your plan includes a set allowance of model and metric work each month; new sources and larger build-outs are scoped as we go.

What the setup includes vs. what the month covers

Setup: your priority sources connected via Airbyte, production infrastructure in your account (object storage, DuckLake catalog, Dagster, CI/CD), a first suite of dbt models across staging and marts, data-quality tests, scheduling, observability, onboarding workshops, and handover docs. The exact source count is scoped per engagement.

Monthly: pipeline monitoring, maintenance, and break-fix; a set allowance of model and metric updates; priority support with fast response when a pipeline breaks; plus a monthly data-health report and regular review. New source integrations and larger build-outs are scoped as add-ons.

Questions

The things teams ask first

Yours. We provision and operate the infrastructure in your own cloud account, so you own the data and the platform end to end. We hand over full documentation whenever you want to take it in-house.

Ready for data you can trust?

Tell us your sources and the questions you need answered. We’ll scope it.

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