I specialize in building enterprise BI solutions using Power BI, SQL, DAX, Power Query, semantic data models, and data visualization. My experience includes designing scalable Star and Snowflake schema models, developing KPI dashboards, implementing Row-Level security, and transforming business requirements into analytical solutions.
I also have hands-on experience with Microsoft Fabric, including Lakehouse, Dataflow Gen2, Data Pipelines, Pyspark/Python Notebooks, OneLake and Semantic Models, along with Power Automate, Power Apps and Copilot Studio for workflow automation and AI-enabled business solutions.
Previously at Tata Consultancy Services, I worked on enterprise applications and automation solutions using Power Apps, Power Automate, SharePoint Online, SQL Server and Dataverse, collaborating with global stakeholders and US-based clients.
Core skills: Power BI | SQL | DAX | Power Query | Data Modeling | Semantic Models | Star Schema | Snowflake Schema | Microsoft Fabric | Power Automate | Power Apps | Dataverse | Data Analytics | Python
I'm interested in Business Intelligence, BI Engineering, Power BI, Data Analytics and Analytics Engineering roles.
Subarna Chatterjee
@subarnachatterjee
Business Intelligence Analyst at Novo Nordisk GBS, building Power BI dashboards and semantic data models.
IndiaExperience
Work history, roles, and key accomplishments
Design interactive Power BI dashboards and semantic data models following Star and Snowflake schema principles. Develop advanced DAX measures, Power Query transformations, and optimize SQL queries for efficient reporting.
Designed, developed, and maintained enterprise applications using Microsoft Power Apps, Power Automate, SharePoint Online, SQL Server, and Dataverse. Collaborated with cross-functional teams and US-based clients to deliver scalable solutions and provide production support.
Education
Degrees, certifications, and relevant coursework
Netaji Subhash Engineering College
B. Tech, Computer Science
Grade: 8.81 CGPA
Completed B. Tech in Computer Science with a CGPA of 8.81.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Salary expectations
Social media
Job categories
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