• Worked with pages and page visualizations in Power BI Desktop.• Collaborated with developers to integrate database functionality into applications.• Developed complex SQL queries, stored procedures, and functions to meet business needs.• Conducted query optimization and performance tuning for improved database efficiency.• Implemented ETL processes for data extraction, transformation, and loading into SQL Server.• Collaborated with cross-functional teams to identify data sources and streamline data collection, resulting in a 25% reduction in report development time.• Integrated R and Python scripts for advanced analytics and custom visualizations.• Created various dashboard reports, user parameters, slicers, and other visualizations.• Shared the reports with business users using content packs.• Created new SQL objects like tables, views, functions, stored procedures, and server scripts

• Utilized extensive knowledge of Power Query M language, DAX, and MDX queries to drive intricate data manipulation and analysis, resulting in a 25% improvement in data processing efficiency and a 30% reduction in time-to-insight for business intelligence solutions.• Developed and maintained reports, KPI scorecards, and dashboards based on user specifications using Power BI, ensuring effective data visualization and analysis for informed decision-making.• Developed and implemented comprehensive database management strategies across multiple platforms, including MS SQL, Oracle, and PostgreSQL, to optimize performance, ensure data integrity, and facilitate seamless data processing and analysis.• Worked with pages and page visualizations in Power BI Desktop.• Collaborated with developers to integrate database functionality into applications.• Designed optimized database schemas, tables, and indexes to ensure performance and integrity.• Developed complex SQL queries, stored procedures, and functions to meet business needs.• Conducted query optimization and performance tuning for improved database efficiency.• Implemented ETL processes for data extraction, transformation, and loading into SQL Server.• Collaborated with cross-functional teams to identify data sources and streamline data collection, resulting in a 25% reduction in report development time.• Integrated R and Python scripts for advanced analytics and custom visualizations.• Created various dashboard reports, user parameters, slicers, and other visualizations.• Shared the reports with business users using content packs.• Created new SQL objects like tables, views, functions, stored procedures, and server scripts.