Service
Data Engineering & Lakehouse
Build reliable data platforms on Databricks, Azure, AWS and Snowflake, with automated pipelines and reporting.
The challenge
Data trapped in on-premise systems, brittle pipelines and slow reports hold back decisions. A well-designed platform turns scattered data into something every team can trust.
Typical starting points
Where we take you
What we deliver
Ingestion pipelines
Batch, incremental and streaming loads from Oracle, SQL Server, SAP and files into the cloud using Azure Data Factory, Apache Airflow, Matillion and Kafka.
Lakehouse modelling
Bronze, Silver and Gold layers in Delta Lake on Databricks or Microsoft Fabric, with Unity Catalog for governance, lineage and cost control.
Warehouse engineering
Snowflake, Redshift and Greenplum design, administration, security and migration.
DataOps and automation
GitHub Actions and Jenkins pipelines, Databricks Asset Bundles, Delta Live Tables and automated tests across Dev, Staging and Prod.
BI and reporting
Power BI dashboards and models built on the Gold layer.
From our experience
Built incremental pipelines from on-premise Oracle and SQL Server into Azure Data Lake, with Databricks Bronze, Silver and Gold models feeding Power BI.
Other services
Talk to us about data engineering & lakehouse
A short conversation is the quickest way to find out whether we can help.