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Power BI Developer with 5+ years in Data Modeling, DAX, and ETL
Power BI Analyst & Developer with 5+ years of expertise designing governed, high-performance semantic models and delivering end-to-end solutions that turn raw data into competitive advantages. Strong technical foundation in DAX, SQL, data modelling, ETL, Power Query (M) and Row-Level Security, with experience working alongside ETL and data integration processes. Skilled in gathering business requirements through BRD/FRD documentation and stakeholder collaboration, developing interactive KPI dashboards, and communicating insights to both technical and non-technical audiences. Experience in Power BI Service administration, report performance optimization, and Agile/Scrum environments, with exposure to Microsoft Azure cloud services. Designs intuitive dashboards following UX best practices to drive adoption and decision-making.
Geetanjali College of Engineering and Technology, Hyderabad
B. Tech
August 1, 2020 – Present
Infosys Limited
Senior Systems Engineer | Power BI Developer
March 1, 2021 – Present
India
Enterprise Analytics & Reporting- Food Processing
March 1, 2021 – Present
Enhanced and maintained Power BI reports and dashboards within a client-facing embedded platform, using tabular models and star schema to support enterprise-wide performance and supply chain reporting for a global food-industry client. Contributed to FRD, NFD documentation for enterprise reporting scope, ensuring alignment between business requirements and technical delivery across project phases. Modified DAX measures, relationships and SQL objects (views, stored procedures) to ensure accurate, optimized data processing; maintained ongoing data integrity across reporting cycles. Worked closely with upstream ETL teams to validate data availability, troubleshoot data issues and ensure timely refreshes for Power BI reporting solutions.
Operational Analytics & KPI Reporting- Automotive Aftermarket
March 1, 2021 – Present
Developed multi-source integrated dashboards for operational reporting, test execution tracking, defect analysis and project KPI monitoring, enabling stakeholders to monitor delivery performance and project health through interactive visualization. Worked with automated data extraction workflows and integrated standardized datasets into Power BI reporting solutions, improving reporting efficiency and data consistency. Implemented CI/CD using Power BI Deployment Pipelines (DEV-> UAT ->PROD), validating report changes via pre-deployment comparisons before production release.
GDPR Compliance Analytics- Oil & Gas
March 1, 2021 – Present
Built a compliance and audit KPI dashboard with dynamic Row-Level Security (RLS) to enforce regional data access controls, ensuring data integrity for audit purposes and deployed across different environments. Optimized complex SQL queries on large multi-regional datasets, significantly improving report load times; collaborated with compliance stakeholders to meet GDPR audit requirements. Documented compliance requirements and validated reports outputs against audit standards, ensuring stakeholder sign-off across environments.
Microsoft Certified: Azure Fundamentals (AZ-900)
Microsoft
June 1, 2026 – Present
AWS Certified Cloud Practitioner
AWS
June 1, 2026 – Present
Microsoft Certified: Power BI Data Analyst Associate (PL-300)
Microsoft
June 1, 2026 – Present
Microsoft Certified: Power Platform Fundamentals (PL-900)
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans multiple industries (Food Processing, Automotive Aftermarket, Oil & Gas) and project types (enterprise reporting, operational analytics, GDPR compliance), indicating adaptability and a broad understanding of business contexts. Their certifications in Microsoft and AWS cloud platforms suggest a willingness to learn and adapt to different technological ecosystems. The focus on end-to-end delivery and stakeholder collaboration aligns well with a team-oriented and results-driven culture.
Soft Skills & Operational Fit
The candidate demonstrates strong stakeholder communication skills, as evidenced by their experience in gathering business requirements, collaborating with ETL/data engineering teams, and supporting end-users. Their project descriptions highlight problem-solving (troubleshooting data issues, optimizing queries) and a structured approach to BI delivery (SDLC, documentation). The implementation of CI/CD and RLS indicates an understanding of operational best practices and data governance.