Lead end-to-end delivery along with knowledge of full SDLC data lifecycle (initiation -> architecture -> build -> test -> deploy -> support) for enterprise data platforms on insider program. 

Drive scalable, secure, and compliant data solutions in cloud environments and contribute on agile delivery.

Act as primary interface between business, architecture, engineering, governance, and infrastructure teams.

Ensure proper data modeling (Dimensional, Data Vault, Regulatory models), audit-ready documentation and regulatory compliance for all data initiatives.

Knowledge on data warehousing concepts(star/snowflake schema) and data lake/Lakehouse architecture.

Advanced SQL and PySpark knowledge - Performance tuning, complex join, indexing and Real-time streaming (Kafka knowledge).

Experience working with Azure Data Factory/ Azure Databricks / ADLS. 

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