Saurabh Vaish
@saurabhvaish
Backend Engineer building scalable distributed systems and data pipelines, blending Java/AWS with GenAI for fintech-grade reliability.
What I'm looking for
I’m a Backend Engineer with 5.5 years of experience designing and scaling highly-available distributed systems and data pipelines. I focus on delivering resilient backend services through strong Java expertise, AWS, and Agile collaboration, with a FinTech background in payments and security.
At Goldman Sachs, I engineered the migration of critical PnL report generation pipelines from on-premise to Snowflake cloud using Java. I orchestrate scheduler-based report generation and optimized API response time by 90% (10 min → under 1 min) through query restructuring and async job orchestration.
I also build automation that accelerates delivery—prototyping a Python reconciliation tool using Generative AI (GitHub Copilot) and integrating GenAI tools (Devin AI) into the development lifecycle. In parallel, I onboarded deposits to new flows, enhanced report generation on AWS, and refactored core functionality into reusable libraries across projects.
Earlier, at Razorpay, I developed integrated reconciliation systems and improved backend performance by 20% by extracting logic into microservices. I strengthened security by updating encryption protocols for Amazon Pay, improved report download time from 2 min to 30 sec using Kafka and multiple threads, migrated authentication to token-based with Spring Security and JWT, and reduced Sonar issues in middle-ware microservices by 95%.
Experience
Work history, roles, and key accomplishments
Engineered migration of critical PnL report generation pipelines from on-prem to Snowflake using Java, enabling scalable cloud processing. Optimized API response time by 90% (10 minutes to under 1 minute) via query restructuring and async job orchestration; built a GenAI-assisted automated reconciliation tool in Python.
Developed integrated reconciliation for user transaction data and improved transaction-processing backend performance by 20% by extracting code into a microservice. Reduced report download time from 2 minutes to 30 seconds using Kafka and multithreading, and migrated authentication from session-based to token-based with Spring Security and JWT.
Improved Spring Boot application code coverage to 92% and migrated marketplace data into GeTM using REST APIs. Enhanced Salesforce Community Cloud functionality using Apex and Lightning Web Components.
Education
Degrees, certifications, and relevant coursework
Jaypee Institute of Information Technology
Bachelor of Technology, Computer Science
2016 - 2020
Bachelor of Technology in Computer Science from 2016 to 2020 at Jaypee Institute of Information Technology.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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