Amritha Gopakumar

• Data Reliability and Accuracy: Transformed, validated, and maintained high-quality data
within Corporate Information Models (CIM), directly improving the accuracy of analytical
reporting and executive decision-making.
• Enhanced Reporting Efficiency: Built and optimized Power BI dashboards and underlying
data models through DAX performance tuning, reducing report load times and improving
accessibility of insights for business stakeholders.
• Root Cause Resolution: Led in-depth investigations to identify and resolve recurring data
integrity issues, implementing sustainable fixes that enhanced pipeline reliability and
reduced downtime across all environments (Dev, UAT and Prod).
• Cloud Platform Integration: Executed large-scale data transformations and pipeline
improvements using Azure Data Factory (ADF), Azure Data Warehouse (ADW), and Azure
Analysis Services (AAS), ensuring data scalability and readiness for advanced analytics.
• Process Optimization: Designed and implemented pipeline improvements that reduced
manual checks by 90%, accelerating data delivery and freeing team capacity for higher-value
analytical initiatives.
• Cross-Functional Collaboration: Worked closely with Analysts and Architects to translate
complex business needs into efficient, reusable data solutions aligned with key business
priorities.
• Knowledge Management: Developed and maintained detailed documentation of data flows,
issues, and resolutions to support knowledge transfer and strengthen data governance.