Data engineering
Lakehouse foundation
An open-table-format estate with the catalogue, the layout, the compaction and the retention decided rather than defaulted.
8–12 weeksTypical duration
The problem this solves
You have a data lake that has become a file dump, and every query is slow for a reason nobody can name.
What you receive
Artefacts you can hold, and that you can accept or refuse — never a list of activities.
- A lakehouse on Delta, Iceberg or Hudi, with the format chosen for stated reasons
- The catalogue, the partitioning strategy and the compaction schedule, documented
- Table maintenance automated, including compaction, vacuum and retention
- A written data layout standard your teams can follow without asking
Also in data engineering
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.
Data contracts & schema governance
A schema registry and an enforcement point, so a producer cannot break a consumer silently.