Teams at MatchDB

Design and implement scalable cloud-native data architectures, build and optimise ETL and big-data pipelines using Databricks/Spark/Delta Lake, ensure data quality and governance, automate workflows with Python/Scala/SQL, and collaborate with data scientists and analysts to enable AI-driven insights.

Design and implement scalable Databricks-based data lakes and lakehouses, lead cloud migrations, optimize integrations and performance, advise on security and cost, and upskill customer teams through workshops and mentorship.