Spark & Databricks review
Slow jobs, inconsistent runtimes or difficult transformations.
What we can agree
A scoped review, prioritised findings and a practical optimisation plan. Implementation can be agreed separately.
Consulting & projects
A clear problem. A practical way forward.
Focused engineering support for teams building, debugging or improving data pipelines.
Streaming reliability review
Unclear retry behaviour, duplicate writes or difficult recovery.
What we can agree
A map of failure boundaries, an assessment of processing guarantees and recommended changes.
Data correctness review
Pipelines that complete but produce inconsistent or difficult-to-explain outputs.
What we can agree
A review of transformation assumptions, validation gaps and reconciliation opportunities.
Scala & data pipeline development
A team needs hands-on support building ingestion or transformation components.
What we can agree
Agreed implementation scope, tests, documentation and a clear handover.
Working approach
Scope first. Then build.
01 / UNDERSTAND
Discuss the situation
The system, the symptoms, the desired outcome and the constraints.
02 / AGREE
Define the engagement
Access, scope, deliverables, timeline and commercial terms, before work begins.
03 / DELIVER
Make the result usable
Practical findings or implementation, with documentation and handover appropriate to the work.
Where I fit best.
Teams working with Scala, Spark, Kafka, SQL or Databricks; particularly where correctness and recovery deserve closer attention.
See relevant experience →Can a review lead to implementation?
Yes. Implementation can be scoped after the initial findings, with explicit deliverables and priorities.
Do you provide regulatory advice?
My focus is data engineering. Financial reporting experience informs how I work with data, but regulatory interpretation and compliance sign-off belong with the appropriate domain specialists.
How are availability and rates agreed?
After discussing the work, we confirm availability, scope and commercial terms directly. This website makes no promise of immediate availability.
Let’s work together
Have a data challenge
or a role in mind?
Let’s discuss the problem, the team and where I could contribute.