Data engineering
Data quality & equivalence harness
An automated comparison lane that proves two paths produce the same data, which is the only honest way to migrate anything.
4–6 weeksTypical duration
The problem this solves
You need to change how data is produced, and 'we checked a few rows' is not an answer anyone will accept.
What you receive
Artefacts you can hold, and that you can accept or refuse — never a list of activities.
- A comparison engine reading both sides through one reader, so the comparison itself is neutral
- Structural schema comparison and key-based row reconciliation with a stated tolerance policy
- A verdict artefact per run, recording aligned or drifted with the differing rows named
- The lane wired into continuous integration, so equivalence is re-proven on every change
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.