1. Data Integration & Modeling
   Connect Power BI to multiple data sources like SQL Server, Excel, APIs, SharePoint, Azure, etc.
   Use Power Query (M language) for data transformation and cleaning.
   Design efficient data models using best practices (e.g., Star Schema).
   Ensure proper data relationships and granularity for accurate reporting.
2. DAX & Calculations
   Write DAX expressions to create calculated measures, columns, and tables.
   Implement time intelligence functions (YTD, MTD, LYTD).
   Optimize DAX queries for better performance.
3. Report & Dashboard Development
   Develop interactive Power BI reports with slicers, filters, drill-through, and tooltips.
   Implement KPIs, conditional formatting, and bookmarks for better UX.
   Ensure data visualizations follow best practices for storytelling.
4. Performance Optimization
   Optimize reports using aggregations, indexing, and summarization.
   Use Direct Query, Import Mode, or Hybrid Mode based on performance needs.
   Utilize Power BI Performance Analyzer to debug slow reports.
5. Power BI Service & Security
   Publish reports to Power BI Service and configure data refresh schedules.
   Manage Row-Level Security (RLS) to control user access.
   Share dashboards via Power BI Workspaces, Apps, and Sharing settings.
6. Collaboration & Documentation
   Work with business users to understand reporting needs and KPIs.
   Document data models, reports, and dashboards for future reference.
   Provide Power BI training & support to non-technical users.

Power BI Developer

• Data Visualizer
• QA Engineer