Cascade Data Group

Services

Engagements typically run between six weeks and nine months. Most clients start with an assessment before committing to a build.

Platform assessment

Two to three weeks. Inventory of systems, data volumes, cost baseline, and a prioritised list of what is actually worth fixing.

Pipeline build

Ingestion, transformation and orchestration built to your conventions. Delivered incrementally with tests and alerting from day one.

Warehouse modelling

Dimensional and wide-table models, documented and version controlled, with clear ownership per domain.

Cost reduction

Query profiling and storage lifecycle review. Most engagements find between 20 and 40 percent of avoidable spend.

Team enablement

Pairing, code review and written standards so internal engineers can extend the platform without external help.

Interim data engineering

Short-term cover during hiring gaps or migrations, on a monthly retainer with a clear exit date.