Strong proficiency in DAX, Power Query (M), and SQL Queries.

•            Deep understanding of data warehousing concepts and ETL tools/processes.

•            Hands-on experience with data modeling tools and concepts.

•            Experience integrating with various data sources (e.g., Excel, APIs, Azure Synapse, SQL Server).

•            Knowledge of ETL tools such as Azure Data Factory, SSIS, Informatica, or similar.

•            Strong troubleshooting, performance tuning, and optimization skills

warehouse.

•            Collaborate with stakeholders to gather and understand reporting requirements.

•            Develop Power BI datasets, calculated columns, measures (DAX), and dataflows.

•            Implement row-level security (RLS) and access control in Power BI.

•            Work with cloud and on-premises data sources (SQL Server, Azure, Oracle, etc.) would be an added advantage.

•            Write complex SQL queries for data extraction, transformation, and reporting purposes.

•            Monitor data refresh schedules, troubleshoot issues, and optimize performance.

•            Performance Optimization, Troubleshooting and Enhancements to reporting and visualization frameworks. .

•            Document technical solutions, metadata, and data lineage.