Sanjana Neralwar

Build and maintain 12+ Power BI dashboards used by 150+ users across finance, operations, and claims to track service metrics, trends, and operational KPIs. Optimize SQL queries, data models, and incremental refresh logic, improving dashboard refresh performance by ~35%. Design ETL workflows in Azure Data Factory and SQL to extract, transform, and validate data from 6 enterprise source systems, processing 5M+ records monthly. Develop reusable data models and DAX measures that standardize KPI definitions across departments. Lead source-to-report validation and root-cause investigations, reducing manual reconciliation effort by ~30% (~15 hours/month). Gather requirements, support UAT, and participate in production releases using Azure DevOps and Git.

Analyzed 2M+ healthcare claims, provider, member, and eligibility records to support performance monitoring and business decision-making. Wrote complex SQL queries, stored procedures, and reusable views powering 25+ recurring healthcare reports. Performed data profiling and source-to-target reconciliation across multiple systems, reducing recurring data-quality issues by ~25%. Investigated reporting discrepancies through root-cause analysis and coordinated fixes with technical and business teams. Maintained HIPAA-compliant reporting through secure handling and validation standards for PHI, and supported UAT prior to production releases. Built Power BI dashboards for claims performance and compliance, integrating multiple systems and applying reconciliation checks to identify missing, duplicate, and mapping issues.

Developed SQL-based reporting solutions and dimensional (star schema) data models supporting financial, sales, and operational reporting. Built Tableau and Power BI dashboards visualizing revenue trends, customer activity, and business KPIs for 20+ stakeholders. Automated recurring reports using SQL and Excel templates, cutting manual report preparation by ~6 hours per week. Performed trend, variance, and forecasting analysis in Excel and SQL for operational reviews and financial planning. Validated data across transactional systems and reporting outputs to catch missing values, duplicates, and mapping errors before release, and participated in Agile ceremonies.