Sudipto Das

About Sudipto Das

Sudipto Das is a Senior Principal Engineer at Amazon Web Services (AWS). He leads the overall Analytics engines technical area spanning Redshift and Spark services. He worked on multiple database and analytics services in AWS driving the longer term architecture of these services. He was also the founding architect of Amazon Timestream. Sudipto is an engineering and research leader known for his work on scalable database management systems. His expertise spans the broad areas of distributed query processing, efficient resource management, automated tuning and indexing of relational database-as-a-service, performance isolation, and scale-out transaction processing. He specializes in balancing longer term architectural and product strategy with incremental delivery through focused execution, driving clarity in large ambiguous technical projects, and working with customers to invent on their behalf. At AWS, Sudipto was one of the architects and engineers building out Timestream which was designed from the ground up as a scalable time series database that supports high throughput streaming data ingestion and concurrent real-time querying with the full SQL surface area in a fully managed serverless offering. In addition to engineering and architecture, he also shaped the product offering, its roadmap, and innovations on the customer’s behalf working closely with thousands of customers.Prior to AWS, Sudipto was a Senior Researcher at Microsoft Research (MSR). At MSR, his research has shaped several key features and business offerings in Microsoft’s Azure SQL Database platform. His work in the SQLVM project formed the basis of CPU performance isolation capabilities, which was exposed as the new Service Tiers and Performance Levels. He also led the project on automated indexing which significantly enhanced the ability to automatically recommend a variety of index structures and significant enhancements to index recommendations in the Auto-indexing in Azure SQL Database.Sudipto holds a PhD in Computer Science from University of California, Santa Barbara. His PhD thesis research on developing scalable, elastic, and autonomic transaction processing systems to support cloud application platforms won several awards including the ACM SIGMOD Jim Gray Dissertation Award (the highest award given to a PhD dissertation in the database area). He has published more than twenty papers at top-tier database conferences which have been cited more than 5200 times and is the recipient of a Best Paper and a Best Paper Runner-up award.

Experience

1. Senior Principal Engineer

   Amazon Web Services (AWS)

   Apr 2022 — Present · Seattle, WA, US

   Leading the technology and architecture of AWS’s Analytics services with special focus on Amazon Redshift and Spark offerings. I\'m responsible for the longer-term architectural evolution of these services to address the evolving workload needs in terms of scale and variety of workloads and ensuring the services are able to address the end-to-end operational and analytical use cases.

Education

• UC Santa Barbara

  PhD, Computer Science

  2006 — 2011

• Jadavpur University

  B.E, Computer Science & Engineering

  2002 — 2006

Skills

• Database Management
• Programming
• C++
• Java
• Scalability
• Computer Science
• Data Analysis
• Cloud Computing
• Transaction Processing
• Analytics
• Data Management
• Databases
• Algorithms
• Distributed Systems
• Big Data
• Linux