C.3 · Data Engineering & Analytics
Data Integration, ETL & Migration
Moving data between systems, and proving nothing was lost on the way
What we build
Pipelines and migrations that can be verified rather than trusted. Ingestion from databases, applications, files, and APIs, transformation with tests at every stage, orchestration with retries and idempotent reruns, historical backfill without downtime, and migration runbooks with reconciliation reports that prove source and target agree before anything is switched off.
Capabilities
- Ingestion from databases, applications, flat files, and third-party APIs
- Idempotent pipelines that can be rerun safely after any failure
- Historical backfill and replay without taking the operational system down
- Reconciliation reports that prove source and target agree, row by row where it matters
- Cut-over runbooks with rollback criteria written before the migration starts
- Orchestration with alerting on freshness and volume, not only on job failure
Related services
How it connects
Where it sits in the stack.
This service, and the two it hands off to. None of them can be optimised alone.
Integration & Migration
Pipelines and migrations that can be verified rather than trusted.
Data Platforms
Data platforms built for freshness and lineage.
Data Engineering & Analytics · see serviceBusiness Intelligence
Reporting that a leadership team can actually argue from.
Data Engineering & Analytics · see serviceBring us the whole problem.
Tell us where the work is stuck, whether that is a model that never reached production, an application nobody can change, a data platform nobody trusts, or a plant the business cannot see. An engineer replies with a first read, not a sales deck.