Databricks
Data warehouses tend to accumulate debt quietly. A pipeline added here, a workaround there, until the architecture is too slow and too expensive to run the analytics and AI the business now needs. The Databricks Lakehouse Platform is built for that next layer of demand. Our data engineering services help organisations get there without having to rebuild from scratch.
What that looks like in practice:
- We start with a readiness assessment that involves mapping the data landscape before committing to any Lakehouse architecture
- Our team migrates legacy warehouses and pipelines to Delta Lake without disrupting ongoing operations
- We develop and deploy ML and GenAI models through MLflow, managing the full lifecycle end to end
- Unity Catalog governs data across AWS, Azure, and GCP, keeping security and compliance centralised

A retail client needed faster access to inventory and forecasting data. The existing warehouse could not keep up.



