• Power BI Development: Dashboards, reports, DAX calculations, and
Power Query
transformations.
• SQL & Databases: Writing complex queries, stored procedures, and
optimizing
performance in SQL Server, PostgreSQL, MySQL.
• Python for Data Analysis: Pandas, NumPy, Matplotlib, Seaborn, and
Scikit-learn.
• ETL & Data Preparation: Experience with Power Query, SSIS, Airflow,
or other ETL
tools.
• Excel & Advanced Reporting: Power Pivot, VBA, and data
visualization techniques.
• Cloud & Integration: Familiarity with Azure Data Services, Power BI
Service, Power
Automate, and API integration.
• Machine Learning: Basic understanding of ML models, predictive