Power BI Developer with 4+ years in BI & Analytics
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Assessing your cultural and operational fit
Power BI Developer with 3+ years of experience designing and delivering enterprise-scale BI solutions using Power BI Desktop & Service, DAX, SQL Server, Power Query (M), and Azure Data Factory (ADF) and e-commerce analytics, with a proven track record of delivering end-to-end performance reporting and consumer insights across global multi-market projects. Expertise in semantic modelling (Star & Snowflake schemas), Row-Level Security (RLS), deployment pipelines, and performance optimization – delivering up to 40% improvement in report load times. Hands-on experience with Microsoft Fabric (Lakehouse, Dataflows Gen2, Semantic Models) and SharePoint.
Kanad Institute of Engineering & Management
Bachelor of Engineering · Mechanical
January 1, 2017 – January 1, 2020
Tata Consultancy Services
Power BI Developer
August 1, 2024 – Present
India
Tata Consultancy Services
Assistant System Engineer
January 1, 2022 – July 1, 2024
India
Retail Sales Analytics Dashboard
August 1, 2024 – June 1, 2026
Built an end-to-end Healthcare Revenue & Utilization Analytics solution; designed a star-schema data model with Encounters/Claims fact and Patient, Provider, Service, and Date dimensions. Developed DAX measures for Total Revenue, Treatment Cost, YoY/MoM Growth, Average Revenue per Patient (ARPP) and implemented time-intelligence calculations to analyse service demand trends and seasonal patient volumes. Created interactive dashboards for department-wise, region-wise, and patient-segment analysis to monitor service utilization and revenue performance. Optimized report performance using aggregation strategies, summarization settings, and DAX best practices to support faster decision-making for healthcare stakeholders.
Insurance Claims & Policy Analytics Dashboard
August 1, 2024 – June 1, 2026
Delivered an enterprise Health Insurance Analytics solution to monitor member enrolment, policy coverage, medical claims, premiums, and claim settlement ratios across multiple regions and provider networks. Developed policy-level, product-level, and member-level KPIs using advanced DAX to track claim utilization, loss ratio, claim turnaround time (TAT), and premium performance. Built automated data ingestion pipelines using Azure Data Factory, leveraging parameterized and metadata-driven orchestration to integrate claims, policy, and provider datasets. Optimized semantic models and data models to improve report performance and support near real-time decision-making. Implemented Row-Level Security (RLS) to enable role-based access for branch, region, and department stakeholders while ensuring compliance with healthcare data governance.
Microsoft Certified: Azure Fundamentals (AZ-900)
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity across Retail, E-commerce, and Healthcare domains, coupled with their experience in a large service-based company (TCS), indicates a strong cultural fit for roles requiring adaptability, client-facing skills, and the ability to work on varied projects. Their focus on delivering KPI-driven solutions and optimizing performance aligns with a results-oriented culture. The breadth of skills in Power BI, Azure Data Factory, and SQL also suggests a continuous learning mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in managing Power BI deployment pipelines, workspace administration, and collaborating with business analysts to translate requirements into scalable BI solutions. Their project descriptions highlight a results-oriented approach, focusing on performance improvements and data-driven decision-making. The ability to work across multiple domains (Retail, Insurance, Healthcare) suggests adaptability and a broad understanding of business needs.