Sunit Padhy

About Sunit Padhy

I am an enterprise data engineering leader in the Chief Data Office, with a strong background in the finance, insurance/Reinsurance, and technology sectors. I specialize in data management, data engineering, data analytics, AI/ML (including LLM and machine learning models), especially in finance and Reinsurance. Over my 19 years of career, I have met tough goals under tight deadlines and challenges, leading new ideas in enterprise data strategy projects.Right now, I lead enterprise data engineering and handle choosing and setting up data strategies, covering data engineering, analytics,and mixed cloud and on-site systems. My work creates strong, safe data setups that follow business needs and rules. I work closely with business leaders, and teams to make sure our data tools support business aims and improve how we work.People see me as a forward-thinking, motivated, and easy-to-work-with data leader who creates useful, data-based solutions in fast-changing markets.I am skilled in:Enterprise Data Architecture & Engineering: Enterprise Data Strategy, Enterprise Data Hub, Enterprise Data Analytics, Data Quality.AI/ML & Analytics: AWS Bedrock, Claude LLM, Machine Learning Models,Python,PySpark, Advanced Analytics, Business Intelligence (Tableau, SAP Business Object).Platforms & Architecture/DB: Snowflake,AWS EMR, Glue, Lambda, AWS Architecture, S3, Google BQ, RedshiftLet\'s connect to talk about data innovation!

Experience

1. AVP Data Engineering

   KKR

   Jan 2024 — Present · New York, NY, US

   Lead data engineering and development teams to optimize data architecture, pipeline development, automation, and delivery within a leading Reinsurance and global investment firm. Collaborate closely with business, product, and technical stakeholders to resolve data pipeline issues and enhance platform functionality.• Lead cross-functional teams in designing and implementing scalable data solutions by designing the Unified data platform using Iceberg Technologies, enhancing overall data integrity and accessibility.• Developed data governance frameworks using MySQL (metadata) and Spark to ensure compliance and data quality across Risk, Actuarial, and Reinsurance Finance teams.• Support with risk experience analysis, actuarial reserve calculations, and general ledger posting using double-entry bookkeeping.• Executed strategic initiatives to optimize data pipeline performance (from Hortonworks to AWS Serverless), reducing processing time by 30% and increasing efficiency.• Designed and implemented the AI/ML model (Claude Sonnet 3.7) Framework to identify the Cedant/Counterparty file format issue• Designed Generative AI platform using RAG (Retrieval-Augmented Generation) technique for the Policy Holders.• Lead requirement gathering, software development lifecycle processes, and delivery of data migration from Legacy sybase to Redshift and BI initiatives using Agile frameworks like Jira and Confluence.• Responsible for assembling complex data sets (In force/Transaction and settlement), maintaining robust data pipelines and reconciliation among all three systems for 160+ reinsurance deals and sub deals.• Lead software development best practices such as CI/CD, code reviews, testing, and change management to deliver high-quality, efficient data solutions.• Proficient in designing and implementing enterprise data architectures leveraging AWS (Redshift, Glue, Lambda), Spark, Python, SQL, and modern data technologies such as Iceberg.

Education

• Walden University

  Master of Science - MS, BigData Analytics

• Indira Gandhi Institute of technology, Sarang(Parjang), Dhenkanal, Orissa

  Bachelor's degree

Skills

• Software Development Life Cycle (Sdlc)
• Dimensional Modeling
• Cognos
• Databases
• Ssis
• Data Warehousing
• Testing
• Unix
• Data Modeling
• Ab Initio
• Sap Businessobjects
• Business Objects
• Pl/Sql
• Etl
• Business Intelligence
• Extract, Transform, Load (Etl)
• Oracle
• Crystal Reports
• Informatica
• Software Development