Key responsibilities:Design, develop, and implement enterprise data platforms using Microsoft Fabric.
Build and manage Lakehouse, Data Warehouse, and Medallion Architecture (Bronze, Silver, Gold) solutions to support enterprise analytics.
Develop and optimize scalable ETL/ELT pipelines, data integration processes, notebooks, and orchestration workflows.
Design and maintain dimensional data models, including fact tables, dimension tables, and star schemas, for reporting and analytical workloads.
Develop data transformation solutions using PySpark, Spark SQL, and notebook-based development within Microsoft Fabric.
Integrate data from multiple enterprise applications and source systems while ensuring high performance, scalability, and reliability.
Partner with Business Intelligence teams to deliver curated datasets, semantic models, and optimized data solutions for Power BI reporting.
Implement and maintain data quality, governance, security, monitoring, and performance optimization best practices.
Monitor, troubleshoot, and optimize production data pipelines, ensuring platform stability and continuous improvement.
Build trusted, governed, and AI-ready data platforms that enable AI, Generative AI, Microsoft Copilot, and Agentic AI initiatives.
Prepare and manage structured, semi-structured, and unstructured datasets, metadata, and knowledge repositories to support AI Engineers, Data Scientists, and advanced analytics use cases.
Create and maintain technical documentation, solution designs, data architecture standards, and implementation best practices.
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