Data Integration
Pipelines that collect, transform, and deliver data from the systems you already run.
Late files, broken overnight jobs, and spreadsheets emailed between teams usually mean the integration layer was never designed. We put a clear path in place from each source system into Azure, with an owner, a schedule, and a way to rerun a failed day.
The work covers pipeline design, environment promotion, and the alerts your operations team will actually use. When a source adds a column or an API changes, the change is a mapping or a parameter, not a new one-off script.
How We Work
- 1
Discovery & assessment
- 2
Architecture design
- 3
Build & migrate
- 4
Test & go-live
- 5
Support & optimise
Talk to us about Data Integration
Tell us what you run today and what the first release needs to do. We will reply within one working day.
Common questions
Pipelines that collect, transform, and deliver data from the systems you already run. Late files, broken overnight jobs, and spreadsheets emailed between teams usually mean the integration layer was never designed. We put a clear path in place from each source system into Azure, with an owner, a schedule, and a way to rerun a failed day.
We deliver Azure Data Factory (ADF), Synapse Pipelines, Fabric Data Factory. The engagement uses the options that fit your requirements and the team you already have.
We start with discovery and a written design, then build in a development environment, test against your data, and go live with a runbook. Support after go-live is agreed in the same plan.
The work covers pipeline design, environment promotion, and the alerts your operations team will actually use. When a source adds a column or an API changes, the change is a mapping or a parameter, not a new one-off script.
Access to the Azure subscription, a named owner on your side, and a sample of the data or the jobs you want moved. We can work from a fixed scope or as a dedicated team.
