When to split a monolith ETL job
Not every long-running extract needs a rewrite. Here is how UK teams decide whether to carve a job by domain, schedule, or failure boundary.
United Kingdom
Core Gatehub
Data engineering consulting that names the risks before the rebuild
We help product, analytics, and platform teams map lineage, schedule reliability, and warehouse debt — then leave a plan your staff can execute.
Consultations
Work grounded in pipelines, marts, and ownership
Each engagement starts from the systems you already run — extracts, warehouses, and the reports leadership quotes on Monday mornings.
Data platform assessment
A structured review of how your organisation moves, stores, and trusts analytical data — with a written map of gaps and a staged remediation plan.
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Pipeline architecture advisory
Design sessions for batch and near-real-time pipelines — contracts between producers and consumers, failure modes, and ownership boundaries.
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Warehouse modernisation consulting
Practical guidance for migrating reporting models, dimensional layers, and semantic definitions without freezing the business for months.
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Data quality and observability consulting
Define checks that matter to the business — freshness, completeness, and reconciliation — and place them where operators will actually notice failures.
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Flagship
Data platform assessment
A three-to-five week review that inventories sources, scores reliability risks by domain, and hands back a 90-day sequence — without absorbing your delivery team into open-ended staff augmentation.
Client notes
What teams say after the handoff
The assessment flagged that our overnight finance extract and the product event stream shared a single brittle job — something we had argued about for months without proof. The written sequencing made budget talks shorter.
Field notes
Recent writing from engagements
Freshness SLAs that analysts actually trust
A warehouse can be 'up' while still late for the morning board pack. Freshness targets need calendars, not just uptime percentages.
Lineage notes that survive staff handovers
When a data engineer leaves, the next person inherits tribal knowledge. Lightweight lineage notes beat another abandoned wiki.