Nivedita Belsare

About Nivedita Belsare

Nivedita is highly motivated individual with a strong academic performance and analytical skills. She has 10+ years of progressive experience in the IT industry serving multiple clients for end to end delivery of cost effective business solutions. She has always been fascinated by the process of converting data into relevant information and she discovered early on her way that Business Intelligence tools are helpful in data driven decision making.Nivedita has developed service-oriented personality by her unique skills of building and sustaining client relationships across all levels, leading peer teams to deliver projects in timely manner and in solving clients’ critical business problems. Her abilities to implement big ideas, capacity to overcome significant challenges and people management skills have come out as her strongest leadership traits.Specialties: Business Intelligence, Integration and Reporting, Relational Database Management, Data Analytics, Systems Analysis, Project Management, Enterprise Risk Management, Performance Improvement. Interested in Technology Consulting, Business Intelligence, Business Analysis, Data Management, Data Governance, and Data Analytics and Reporting opportunities.

Experience

1. Sr Business Intelligence Engineer

   Amazon

   Oct 2023 — Present · Seattle, WA, US

   Amazon Fashion and Fitness (Softlines Retail)Architected Enterprise-Scale Customer Intelligence Platform• Designed and implemented end-to-end analytics infrastructure supporting 15-18M customers in specialized retail vertical. Engineered custom data models with complex attribution logic and multi-dimensional mapping algorithms. Built scalable ETL pipelines and data warehouse architecture establishing reusable framework patterns for cross-functional analytics teams. Recognized for accelerated delivery as first dashboard among 14 concurrent programs. Engineered AI-Powered Experience Analytics Platform• Architected comprehensive analytics infrastructure supporting LLM-powered customer experiences, delivering 2x engagement improvement over legacy implementations. Designed scalable data pipeline architecture extending from 2 pilot categories to 18+ categories, with roadmap to 40+ categories in 2026. Implemented automated ETL refresh mechanisms eliminating hardcoded dependencies and manual interventions. Built real-time metrics aggregation framework capturing customer engagement patterns, session analytics, and AI-generated content performance. Received executive recognition for delivering critical P0 metrics infrastructure that exceeded technical requirements, enabling advanced analytics on AI-powered experience effectiveness and ROI validation for strategic ML investments

Education

• Cummins College OF Engineering Pune

  Bachelor, Information Technology

  2003 — 2007

• Syracuse University

  Certificate of Advanced Studies(CAS), Data Science

  2012 — 2014

• Syracuse University

  Master of Science (MS), Information Management

  2012 — 2014

Skills

• Business Intelligence
• Databases
• R Analysis Language
• Global Financial System
• Analytical Skills
• Analysis
• Ssis
• Pl/Sql
• Data Governance
• Enterprise Risk Management
• Ssrs,Ssas,Ssis
• Strategic IT Management
• Project Management
• C#
• Sql Data Compare
• Ssrs
• Etl
• Data Management
• Html
• Vb.net
• Sdlc
• Access
• Sql
• Visio
• Asp.net
• Qsee Superlite
• Microsoft Sql Server
• Data Warehousing