Krishna Suvarnakar

About Krishna Suvarnakar

Results-driven Business Intelligence Developer with over 13 years of experience designing and delivering enterprise-scale analytics and reporting solutions. I specialize in transforming complex datasets into actionable insights through intuitive dashboards and performance-driven reporting. With deep expertise in Power BI, Tableau, and SSRS, I help organizations modernize legacy reporting, streamline data processes, and make informed, data-driven decisions.My background spans the full BI development lifecycle — from data modeling, ETL integration (Talend, SQL Server, Snowflake), and performance tuning to building interactive visualizations that enable self-service analytics. I’ve successfully led initiatives to automate recurring reports, optimize warehouse performance, and implement governance frameworks that ensure accuracy, consistency, and compliance across enterprise data ecosystems.Passionate about the intersection of data and business strategy, I thrive on creating transparent and scalable BI environments that empower users at all levels. Whether partnering with Finance, Operations, or Data Governance teams, my goal is to deliver insightful, reliable, and visually compelling analytics that drive operational efficiency and strategic growth.

Experience

1. Sr Business Intelligence Developer Data Analyst

   The Hartford

   Apr 2022 — Present · US

   Provide technical leadership across the end-to-end BI lifecycle, spanning ETL pipelines, data warehousing, dimensional modeling, andanalytics visualization layers. Own BI architecture and standards, including SQL performance tuning, Tableau/SSRS design patterns, data refreshstrategies, and semantic model consistency. Lead development of financial analytics datasets (AUM, ETF performance, inflows/outflows, expense ratios) using star andsnowflake schemas optimized for reporting and scalability. Drive Snowflake data warehouse optimization, implementing schema design improvements, query tuning, and materialized views toimprove analytics performance and reliability. Embed data quality, reconciliation, and governance controls into BI workflows by implementing validation rules, exception handling,certification logic, and audit checks to ensure accurate, traceable, and regulatory-ready reporting. Partner closely with Finance, Investment Operations, and Data Governance teams to translate complex business, risk, & regulatoryrequirements into scalable analytics solutions, aligning KPI definitions, data models, and reporting logic with enterprise standards. Enable governed self-service analytics by designing certified Tableau data sources, reusable semantic layers, and standardizeddatasets, reducing ad-hoc reporting requests while improving data consistency and user adoption. Provide technical leadership and mentorship to BI developers through architecture and design reviews, SQL and model validation,performance optimization guidance, and enforcement of BI best practices across analytics deliverables. Design and develop automated SSRS and Tableau dashboards tracking fund performance, AUM, inflows/outflows, and expenseratios, delivering timely, high-quality insights for portfolio managers, finance leadership, and executive stakeholders. Built ETL pipelines to extract, transform, and load financial/operational data into Snowflake.

Education

• San José State University

  Masters, Electrical Engineer

  2009 — 2011

• Sardar Vallabhbhai Patel Institute of Technology

  B.E, Electronics & Communication