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Power BI Developer with 6+ years in data modeling, DAX, and dashboard design.
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Assessing your cultural and operational fit
Results-driven Power BI Developer with 6.6 years of overall IT experience and 5.2 years of relevant expertise in Business Intelligence and Power BI development. Specialized in data modeling, DAX, SQL, and dashboard design, delivering impactful business insights that support data-driven decision-making. Skilled in building scalable, high-performance reporting solutions and collaborating with stakeholders to translate business requirements into reliable, secure BI deliverables.
Thanthai Hans Roever College
Master of Computer Applications
N/A – June 30, 2019
Clarivate Analytics
Power BI Developer
August 1, 2019 – Present
Chennai, Tamil Nadu, India
Commerce Insurance Group
Power BI Developer
May 1, 2018 – July 31, 2019
India
Commerce Insurance Group
June 27, 2026 – Present
Developed and maintained Business Intelligence solutions to analyze policy performance, claims processing, underwriting metrics, and financial trends, integrating SQL Server data into interactive Power BI dashboards for claims, finance, and operations teams. Designed interactive dashboards to monitor KPIs such as premium growth, claims ratio, loss ratio, and policy renewals. Extracted, transformed, and validated data from SQL Server using complex SQL queries, joins, and aggregations. Built efficient data models and created advanced DAX measures for claims analysis, trend forecasting, and risk assessment. Published reports to Power BI Service, configured scheduled refreshes, and implemented RLS by department and region. Optimized SQL queries and data models to enhance dashboard responsiveness and reduce report load time. Developed paginated reports using Power BI Report Builder to support operational and regulatory reporting requirements. Collaborated with business stakeholders, claims analysts, and underwriting teams to gather requirements and deliver data-driven reporting solutions. Performed data quality checks and reconciled report outputs with source systems to ensure accuracy and consistency of business metrics.
Organogenesis
June 27, 2026 – Present
Supported manufacturing, quality control, and supply chain operations by integrating production, inventory, and quality data from SQL Server into Power BI dashboards monitoring production efficiency, product quality, and inventory availability. Developed dashboards to monitor manufacturing performance, production output, and operational KPIs. Extracted and analyzed SQL Server data for manufacturing batches, quality checks, and supply chain operations. Used Power Query to clean, transform, and combine production, inventory, and quality control data into reliable datasets. Built data models and relationships to connect production, inventory, and quality data for cross-departmental analysis. Created DAX measures for production efficiency, defect rates, inventory availability, and compliance indicators. Published and maintained Power BI reports in Power BI Service, configuring scheduled refreshes and workspace access management. Worked closely with manufacturing, quality assurance, and supply chain teams to understand reporting requirements and provide actionable insights. Optimized data models and DAX calculations to improve report performance and reduce dashboard loading times.
Best Buy
June 27, 2026 – Present
Built retail analytics dashboards to monitor sales performance, inventory levels, customer trends, and store operations, leveraging Azure cloud services to process large datasets for centralized, real-time Power BI reporting. Developed dashboards to track daily sales, revenue trends, product performance, and store-wise KPIs. Integrated data from Azure SQL Database and Azure Data Lake into Power BI for centralized, real-time reporting. Designed data models and DAX measures for sales growth, profit margins, inventory turnover, and customer patterns. Performed data transformation and cleansing using Power Query across multiple retail data sources. Created and maintained Power BI datasets and semantic models to support enterprise-wide retail reporting and self-service analytics. Configured automated data refresh schedules and monitored report performance to ensure timely availability of business insights. Collaborated with cross-functional teams to identify business requirements, develop KPIs, and deliver scalable reporting solutions aligned with organizational goals. Implemented RLS for regional and store-level users and collaborated with sales, supply chain, and finance teams.
Cultural Fit Analysis
The candidate's experience across diverse industries (Insurance, Life Sciences, Retail) and various functional areas (claims, finance, operations, manufacturing, supply chain, sales) indicates adaptability and a broad understanding of different business contexts. This diversity suggests a strong cultural fit for organizations seeking versatile BI professionals capable of integrating into varied business units and contributing to a wide range of analytical challenges.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in Agile environments, stakeholder collaboration, requirement gathering, and documentation. Their project descriptions highlight a collaborative approach to understanding business needs and delivering actionable insights, indicating good team integration and communication skills for a senior role.