/ transformation
- Packaging and orchestration using Databricks-native wrappers
- Intelligent transformation engine, delivering up to 95% automation for:
- Data warehouse and ETL – Databricks Lakehouse on AWS/Azure/GCP
- Analytics – Databricks Lakehouse on AWS/Azure/GCP, PySpark/Scala + Spark
- Hadoop – Databricks Lakehouse on AWS/Azure/GCP, Presto query engine

/ validation
- All transformed data warehouse, ETL, analytics, and/or Hadoop workloads
- Business logic (with a high degree of automation)
- Cell-by-cell validation
- Integration testing on enterprise datasets

/ operationalization
- Capacity planning for optimal cost-performance ratio
- Performance optimization
- Robust cutover planning
- Infrastructure as code
- CI/CD
- Provisioning of Databricks Lakehouse and other required services
