01
Build real-time and near-real-time analytics (Kafka, Kinesis, Databricks streaming).
02
Design full-stack architectures covering ingestion, processing, and serving.
03
Enable embedded analytics and report automation.
04
Harmonize and govern KPIs through a central dictionary and automated tests.
06
(Tableau → Power BI, Looker → Power BI, etc.) with automated conversion where possible.
