O

Omkar Shete

Senior Software Engineer

Bengaluru, Karnataka, India4 yrs 1 mo experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Reduced real-time notification failures by 99.9%
  • Automated AMC onboarding in under 60 seconds
  • Optimized API response time by 80%
Stackforce AI infers this person is a Backend-focused Software Engineer in the Fintech industry.

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Skills

Core Skills

JavaMicroservices

Other Skills

AWS SQSAgile MethodologiesApache KafkaBitbucketData Structures and AlgorithmsDeep LearningDesign PatternsElasticsearchGitJUnitJenkinsJiraKafkaKanbanMachine Learning

Experience

Paytm

3 roles

Senior Software Engineer

Jul 2024Present · 1 yr 8 mos · Remote

  • Built a transactional communication framework for Daily SIP and MF Reports, delivering 13.1 million+
  • notifications (10.1M push, 2.9M email), reducing SIP cancellations and boosting user engagement.
  • Implemented a generic rate limiter using Redisson to manage API TPS limits, reducing real-time notification
  • failures by 99.9% and ensuring seamless delivery via AWS SQS for retries.
  • Integrated Experian API into the MF Reports project, enabling 46K+ users to fetch PAN via name and phone
  • number and significantly reducing drop-off cases during onboarding.
JavaSpring BootMicroservicesRedisApache KafkaAWS SQS

Software Engineer

Jul 2022Jun 2024 · 1 yr 11 mos · Remote

  • Developed the MF Reports feature with multiple microservices, improving mutual fund portfolio tracking for
  • Rs.12K crores ($1.41 billion) in user Assets Under Management (AUM).
  • Integrated with MFC to process 1.2 million CAS reports, generating mutual funds insights for 623K users.
  • Built Data Service with Value Research, managing 37K+ mutual fund for better accuracy and insights.
  • Developed Paytm Scheme Master for Monthly and Daily SIPs, automating daily updates via MFU cron job to
  • ensure data synchronization and efficient scheme management for the opertations team.
  • Integrated Prometheus with custom outbound/inbound client metrics resulting in active monitoring and alerting,
  • leading to a 30% decrease in system downtime and improved overall reliability.
  • Automated AMC onboarding, reducing time from 2-3 days to under 60 seconds, enabling product teams to onboard
  • 4 AMCs, facilitating Rs.75 crores ($9 million) in SIP investments.
  • Optimized the watchlist feature by reducing stored records by 46% (from 57 million to 31 million) for 4.7
  • million users and implemented Kafka for asynchronous processing, cutting API response time by 80%.
  • Optimized portfolio insights updates, switching from a pull flow with 1.2 million API hits to a Kafka push flow,
  • cutting daily hits by 99.6% to 500, reducing microservice load.
  • Removed cassandra dependency in mutual fund data service, which resulted in cost saving $450 per month
  • across all 3 application environments, heavy cron jobs performance increased by 20%.
  • Migrated mutual fund service from Apache Solr to Elasticsearch in 5 phases, enabling parallel development and
  • seamless deployment, supporting DevOps with infrastructure management.
JavaSpring BootMicroservicesPrometheusKafkaElasticsearch

Software Engineer Intern

Jan 2022Jul 2022 · 6 mos · Remote

  • Optimized REST API by diagnosing issues and improving database queries, reducing response time by 15%.
  • Wrote unit test cases using JUnit and Mockito, increasing overall test coverage by 30%.
  • Optimized logs, reducing storage consumption by 33.31% by removing unnecessary system logs.
  • Documented cron jobs with details on API calls, MySQL updates, cache, and Elasticsearch, aiding QA and
  • providing developers a reference.
JavaJUnitMySQL

Education

MIT World Peace University

Bachelor of Technology - BTech — Computer Science

Jan 2018Jan 2022

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