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Power BI Developer with 5+ years in data visualization, DAX, and data modeling across multiple domai
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Assessing your cultural and operational fit
Power BI Developer with 5+ years of experience in data visualization, DAX, SQL, data modelling, and ETL processes. Hands-on expertise with Microsoft Fabric, designing interactive dashboards, KPI reports, and performance-optimized data models. Proven track record of translating complex business requirements into actionable insights that drive data-driven decision-making across healthcare, logistics, and e-commerce domains.
Karpagam College Of Engineering
Bachelor of Engineering · Civil Engineering
August 1, 2016 – June 30, 2020
Brillio Technologies
Power BI Developer
November 1, 2020 – Present
Chennai, Tamil Nadu, India
LEGO – Sales & Customer Insights Dashboard
July 1, 2024 – June 1, 2026
Worked on an end-to-end sales and product analytics project for The Lego Group using Power BI. Analyzed inventory movement, regional sales trends, product performance, and customer demand across categories. Built optimized data models with Power Query and DAX, integrated Excel and SQL Server sources, implemented KPIs, and delivered actionable insights to support forecasting, manufacturing planning, and global supply chain decisions. Used Microsoft Fabric to enhance report performance by optimizing DAX measures and reducing overall data model complexity by 30% through seamless Power BI integration. Delivered actionable insights that supported manufacturing planning and global supply chain decisions across 5 regional teams. Used Fabric for data ingestion and transformation; built optimized data models using Power Query and DAX integrating Excel and SQL Server data
Amazon Logistics – Operations & KPI Monitoring System
November 1, 2022 – June 1, 2024
Worked on Amazon Logistics data to develop interactive Power BI dashboards focused on shipment tracking, delivery performance, and route optimization. Integrated real-time logistics data to analyze delivery timelines, carrier efficiency, and order fulfillment. Built DAX-driven KPIs to support operational decisions and improve last-mile delivery performance. Performed data extraction, transformation, and cleansing using PowerQuery and SQL. Built DAX-driven KPIs to support operational decisions and improve last-mile delivery performance. Optimized Power BI datasets by improving DAX efficiency and reducing model complexity, improving dashboard load speed by 35%.
Merck – Pharmaceutical Sales & Market Insights Dashboards
January 1, 2021 – October 1, 2022
Developed and maintained Power BI dashboards for pharmaceutical sales analytics, tracking regional market trends, utilization metrics, and territory performance. Integrated data from Excel and Snowflake, built advanced DAX measures for KPIs such as prescription volume and sales growth, and ensured secure access and timely refreshes using Power BI Service and On-Premises Data Gateway. Wrote complex SQL queries to extract, clean, and prepare analytical datasets; optimized SQL views, stored procedures, and ETL pipelines for Power BI reporting. Built data model relationships using appropriate joins to ensure data integrity across multiple source systems Managed secure access and scheduled refreshes using Power BI Service and On-Premises Data Gateway.
Cultural Fit Analysis
The candidate's experience spans multiple industries (e-commerce, logistics, pharmaceutical) and involves working with diverse data sources and business requirements. This breadth of exposure suggests adaptability and a willingness to tackle varied challenges, which can be a positive indicator for cultural fit in dynamic environments. The focus on delivering actionable insights and supporting business decisions aligns with a results-driven culture. However, the lack of specific team collaboration or leadership experience in the provided data limits a deeper assessment of cultural fit beyond technical contributions.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a results-oriented approach, focusing on delivering actionable insights and improving operational performance. The experience across different domains (e-commerce, logistics, healthcare) suggests adaptability and a broad understanding of business needs. The emphasis on optimizing performance and ensuring data accuracy points to a detail-oriented and quality-focused work ethic. However, without direct assessment data on collaboration or communication, these are inferred from project outcomes.