Have good experience in Data Analytics & Data Engineering domain, Can understand business requirements and incorporate the needs, Eloquent communicator, Hands-on experience in Azure Data Factory, Google BigQuery, Azure Data Lake, Power Automate flows Good technical knowledge in PowerBI Service, PowerBI Desktop, Embedding reports, and Paginated reports, Has worked on different databases like SQL, MongoDB, etc, Well-versed in DAX expressions for calculations, Should have good knowledge in building Data Models, Efficient in optimizing/managing/setting reports and performance tuning, Involved in overall project life cycle, Strong problem-solving skills, and quick analysis, Thorough in implementing RLS over dashboards, Should have successfully completed Microsoft Certified certifications.