Reliable pipelines you can stop worrying about.
Ingestion, transformation, and integration architectures built for SLA — using Fivetran, Airbyte, dbt, and the right native APIs.
Why pipelines keep breaking
Pipelines silently fail. Schemas change upstream and break downstream. Custom Python jobs nobody understands need babysitting. The data team spends most of its time firefighting.
You hired data people to drive insight; they are doing infrastructure plumbing.
We build pipeline stacks on tools designed for reliability — Fivetran or Airbyte for ingestion, dbt for transformations, Monte Carlo or similar for observability.
How we integrate
- 01
Inventory and prioritise
Every existing pipeline catalogued with criticality and current state.
- 02
Standardise
Move to managed connectors where they exist; codify custom ones with proper testing and observability.
- 03
Operate
Alerting, runbooks, ownership. The pipelines have someone who cares when they break.
What good looks like
Pipelines run reliably without daily attention. The data team focuses on insight, not infrastructure.
Reliable ingestion
Managed connectors handle source-side schema evolution.
Tested transformations
dbt tests catch regressions before they hit dashboards.
Owned and observable
Every pipeline has a clear owner and a clear alert path.
Proof
80% fewer pipeline incidents
Migrated 30+ custom Python jobs to Fivetran + dbt. Pipeline-related Slack noise dropped to near-zero.
— Mid-market e-commerce
Frequently asked questions
Depends on volume, sources, and budget. Fivetran is more mature for SaaS sources; Airbyte is cheaper at scale and self-hostable. We will help you pick.
Ready to stop firefighting?
Send us a list of your current pipelines. We will tell you which ones are worth keeping.