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Prasenjit Sutradhar

Prasenjit Sutradhar

Software Engineer

Talent
BengaluruMember since May 7, 2026
JavaSQLSpring BootMicroservicesPostgreSQLRedisReactNode.jsNestJSRabbitMQBullMQApache CassandraMongoDBMySQLGraphQLgRPCAWSAWS S3AWS Elastic BeanstalkAWS EKSMavenGitHub ActionsCI/CDSpring Data CassandraOAuthStripeTwilioSendGridJWTRBACApache POI
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JavaSQLSpring BootMicroservicesPostgreSQL

Experience

Software Engineer at Turing (2024-10 – 2025-10)

  • Increased transaction webhook reliability from 95% to 99.95% by implementing idempotency using provider transaction IDs and retry mechanisms in Spring Boot, ensuring accurate payment data for 2,000+ businesses processing 100,000+ monthly card transactions.
  • Accelerated dashboard load time by 68% (2.5s to 800ms) by optimizing PostgreSQL queries with composite indexes, implementing Redis cache-aside pattern, and reducing query execution from 800ms to 45ms for transaction history serving 10,000+ daily users.
  • Developed receipt upload system processing 500+ monthly uploads using Spring Boot, AWS S3, and PostgreSQL with file validation (type, size), presigned URL generation for secure downloads, and audit logging, enabling compliance-ready expense tracking for finance teams.
  • Built transaction export feature generating 1,000+ monthly CSV/Excel reports with streaming architecture, timezone conversion, and multi-sheet Excel formatting using Apache POI, reducing finance team's manual data compilation effort by 10+ hours/month.

Software Developer at Turing (2023-06 – 2024-08)

  • Delivered automated investing feature serving 800+ users with 30% increase in investment amount by building event-driven architecture using RabbitMQ and BullMQ, achieving 98.5% reliability with failure handling for market closures and insufficient funds.
  • Eliminated performance bottleneck by reducing budget page load time by 98% (8.4s to 17ms) through Redis caching (85% hit rate) and PostgreSQL optimization, removing all support complaints from 200+ power users and increasing feature usage by 23%.
  • Restored production service for 500 affected users within 75 minutes during cache stampede incident, implementing TTL jitter solution and creating documentation that prevented $15K+ monthly revenue impact from recurring outages.
  • Improved operational efficiency by 83% saving 20 hours/week by building analytics dashboard with automated data aggregation and React visualizations, enabling self-service reporting for 15 employees across 3 departments.

Education

Master of Science in Mathematics – University of Calcutta (2019-09 – 2021-08)

Bachelor of Science in Mathematics – Vidyasagar University (2016-01 – 2019-02)

Skills

software engineer

Reviews

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