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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.

05

Redesign data models for the new stack and build semantic layers (LookML, Power BI semantic model).

06

(Tableau → Power BI, Looker → Power BI, etc.) with automated conversion where possible.