Senior Power BI Developer & Data Analyst Resume – 4 Years Experience -PL-300 Certified-AWS Glue -DAX-  SQL

Senior Power BI Developer & Data Analyst Resume – 4 Years Experience -PL-300 Certified-AWS Glue -DAX-  SQL

A results-driven Power BI Developer & Data Analyst (PL-300 Certified) with 4 years of experience specializing in advanced data modeling and enterprise BI solutions. Strong expertise in Power BI, SQL, Advanced Excel, DAX, and AWS Glue. Extensive hands-on experience with Power BI including ETL processes (data extraction, transformation, and modeling), complex KPI development (ARPU, Churn Rate, Revenue), Row-Level Security (RLS), performance optimization, interactive dashboard design, drill-down and drill-through analysis, bookmarks for dynamic reporting, and delivering actionable business insights. Integrated cloud data from Amazon S3 using ODBC and implemented ETL workflows with AWS Glue to enable scalable, automated reporting solutions. Leveraged AI tools to accelerate DAX creation, data preparation, and insight generation while ensuring business logic validation, data accuracy, and production-ready performance.

Skills:

Power BI:

• Dashboard Development, Report Creation, Power Query, DAX, Power BI Service

Databases:

• SQL Server

Data Modeling:

• Star Schema, Snowflake Schema, Data Warehousing, Data Transformation

Programming Languages:

• DAX, M (Power Query), Python

Visualization Tools:

• Power BI, Tableau (Basic Knowledge)

Cloud Platforms:

• Amazon Web Services (Amazon S3, AWS Glue)

AI Tools:

• Microsoft Copilot for Power BI (AI-assisted DAX, data modeling, insights generation)

Other Tools:

• Advanced Excel

Certifications:

• PL-300: Microsoft Power BI Data Analyst Associate

Key Projects & Responsibilities:

Project 1 – Subscription & Revenue Analytics

• Developed and deployed a quarterly sales dashboard delivering comprehensive insights into sales performance, distribution channels, and subscriber KPIs such as growth, churn, and activations

• Designed and engineered robust, scalable data models by integrating sales, subscription, and customer datasets, ensuring accurate relationships and efficient performance for enterprise-level reporting

• Leveraged advanced DAX calculations to derive critical KPIs including Total Revenue, Active Subscribers, ARPU, and Churn Rate, enabling consistent and reliable metric tracking across reports

• Implemented interactive visuals, filters, and drill-through capabilities to allow business users to analyze subscriber behavior by region and channel, improving insight discovery and usability

• Supported data-driven decision-making by identifying at-risk subscribers and underperforming channels, enabling targeted retention strategies and revenue optimization

• Leveraged AI tools to accelerate Power BI development by generating and optimizing DAX measures (Active Subscribers, ARPU, Churn Rate, Revenue), performing data preparation and modeling in Power Query, creating visuals, and deriving actionable insights while ensuring business logic validation, data accuracy, and production-ready performance

• Additionally utilized cloud services for yearly transaction analysis, leveraging ETL operations on large-scale historical datasets stored in cloud storage, enabling efficient annual trend analysis and performance reporting in Power BI

Project 2 – Healthcare Operational Analytics

• Developed and maintained Power BI data models by integrating data from medical systems, SQL Server databases, and Excel via Power Query (ETL)

• Collaborated with stakeholders to analyze business requirements and KPIs, translating operational and clinical needs into scalable Power BI solutions that supported data-driven decision-making

• Designed and delivered interactive dashboards (Service KPIs, Asset Utilization) using Power Query, Power Pivot, advanced DAX, and Power View, enabling insights into operational efficiency and resource utilization

• Performed complex data modeling (including many-to-many relationships) and optimized DAX calculations, improving report performance by 40% and reducing reporting effort by 50%

• Implemented static and dynamic RLS and managed Power BI Service deployments, including gateways, scheduled refreshes, and Level-2 support

Ideal For:

• Full-time Senior Power BI Developer / Data Analyst roles

• Subscription and revenue analytics projects

• Healthcare operational reporting

• Cloud-based ETL and BI solutions (AWS)

• Remote or Bangalore-based opportunities

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