Data engineering
Warehouse modernisation
A migration off a legacy warehouse with the semantics preserved and proven equal rather than assumed equal.
12–24 weeksTypical duration
The problem this solves
Your warehouse is expensive and slow, and every migration proposal stalls because nobody can guarantee the numbers will still match.
What you receive
Artefacts you can hold, and that you can accept or refuse — never a list of activities.
- A migration plan sequenced by dependency and by risk
- The target model built, with the legacy semantics reproduced explicitly where they were accidental
- An automated equivalence lane comparing legacy and target output row by row
- The decommissioning plan for the legacy estate, with the cutover criteria stated
Also in data engineering
Lakehouse foundation
An open-table-format estate with the catalogue, the layout, the compaction and the retention decided rather than defaulted.
Streaming backbone
A Kafka and structured-streaming spine with exactly-once semantics, checkpointing and replay, built so a late record has a defined fate.
Batch-to-streaming conversion
An existing nightly estate turned incremental without a rewrite, one pipeline at a time.