Summary
Vishnu Sharma is a Data Engineer - AVP with 9 years of experience building scalable data architectures and production pipelines across cloud platforms. Currently at NatWest Group, he architects and optimizes enterprise Data Lakes and ETL/Ops using AWS EMR, Serverless, PySpark, StreamSets, Airflow and Snowflake to turn large-scale data into actionable business intelligence. His background spans Azure and on-prem systems from roles at Polestar and AFRY, where he handled vehicle, financial and robotics time-series data and led migration POCs and DevOps-driven deployments. Vishnu pairs an MS in Computer Science from Uppsala University with hands-on ML and MLOps experience—earlier work includes deploying models as serverless services and experimenting with reinforcement learning for power systems. He’s comfortable moving projects from research to production and often combines data engineering with pragmatic model deployment to accelerate decision-making. Based in Gurugram, he brings a cross-industry perspective that helps bridge domain data nuances with robust, cloud-native data platforms.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at Punjabi University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Uppsala University