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Power BI Developer with 6+ years in BI, SQL, DAX, and Azure Data Factory
Results-driven Senior Power BI Developer with 6.5 years of overall IT experience, including 4.5+ years of hands-on expertise in designing, developing, and optimizing enterprise Business Intelligence solutions using Power BI, SQL Server, DAX, Power Query, Tableau, Spot fire. Proficient in building interactive dashboards, semantic models, ETL pipelines, and scalable data warehouse solutions across Logistics, E-commerce, and Insurance domains. Strong expertise in Star & Snowflake Schema design, DAX optimization, Incremental Refresh, Query Folding, SQL performance tuning, and enterprise reporting solutions. Experienced in delivering end-to-end BI and analytics solutions that improve operational efficiency, support executive decision-making, and enable self-service analytics. Skilled in collaborating with cross-functional stakeholders in agile environments to deliver scalable and data-driven business solutions.
KMM College of Engineering and Technology
MCA
N/A – June 30, 2019
Mphasis
Power BI Developer
March 1, 2021 – September 1, 2025
Bengaluru, Karnataka, India
CONCENTRIX
Operational Advisor -Bi Reporting
April 1, 2017 – March 1, 2019
India
Critical Inventory Logistics (CIL)
March 1, 2021 – September 1, 2025
Developed logistics and inventory dashboards to monitor critical shipment, transportation, and operational performance metrics. Designed and implemented an end-to-end BI architecture integrating ETL pipelines, data warehouse modeling, and Power BI semantic models for enterprise claims analytics. Collaborated with business stakeholders to gather requirements, define KPIs, and deliver actionable insights through data-driven reporting. Developed 27+ enterprise Power BI and Tableau dashboards analyzing millions tracking shipments and inventory continuously. Built automated ETL pipelines using Azure Data Factory (ADF) transform multi-source data (SQL Server, Excel, MDX,CSV, cloud systems). Designed data warehouse models using Star Schema with Fact Claims and Dimension tables to support scalable analytics. Created optimized Power BI semantic models enabling enterprise reporting and self-service BI. Developed complex SQL queries, stored procedure and window functions for efficient processing of large claim datasets. Implemented advanced DAX measures (CALCULATE, FILTER, ALL, SUMX) to generate fraud indicators, claim ratios, risk scores, and settlement KPIs. Used Iron Python and Java Script for anomaly detection, data preprocessing, and exploratory analysis before BI reporting. Improved report performance using Incremental Refresh, Query Folding, dataset optimization, and SQL performance tuning. Implemented Row-Level Security (RLS) to enforce secure access for underwriting, finance, and claims teams. Applied trend analysis and statistical techniques to identify fraud patterns and operational insights.
Cultural Fit Analysis
The candidate's experience across multiple industries (Logistics, E-commerce, Banking, Insurance) and roles (Power BI Developer, Operational Advisor) suggests adaptability and a willingness to engage with diverse business challenges. The emphasis on collaboration with cross-functional teams and delivering actionable insights aligns with a culture that values teamwork and data-driven decision-making. The breadth of skills, including both technical BI development and operational advisory, indicates a well-rounded professional who can bridge technical and business requirements.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with business stakeholders, working in agile environments, and delivering data-driven insights, indicating a good operational fit. The focus on improving efficiency and automating processes suggests a proactive and results-oriented approach. The experience in diverse domains (Logistics, E-commerce, Banking, Insurance) demonstrates adaptability and a broad understanding of business needs.