Hiren Odedara
Senior software engineer @Zeta(DirectI) | Ex-Goldman Sachs
- Role
- Senior Software Engineer at Zeta
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Hiren Odedara
I\'m passionate about distributed systems and love building, breaking, and learning from real-world systems. I’m drawn to emerging technologies and often find myself exploring ideas at the edge of what’s possible—especially in fast-moving, startup environments.With a high-agency mindset, I look for ways to unblock problems, simplify complexity, and move ideas forward. I\'m most energized when working with curious, driven people who care about building things that matter.Always exploring, always building.
Experience
Senior Software Engineer
Jul 2023 — Present · Bengaluru, IN
End-of-Day Processing at Scale: End-of-day (EOD) processing as a critical problem for banks to solve to be able to unlock scale in their credit business. EOD processing is a complex and resource-hungry task that involves billing, interest calculations, fees, statements, and account status updates across millions of accounts.Contributed to a high-performance system capable of processing 200M+ accounts daily, leveraging technologies like Apache Flink, AWS S3, AWS Athena, PostgreSQL replication, and distributed microservices. This work was recognized in an AWS case study.Zeta Case Study: https://aws.amazon.com/solutions/case-studies/zeta-amazon-eks/- Account & Card Onboarding: Led the redesign of onboarding by decomposing a monolith into microservices, introducing asynchronous workflows with Temporal. Managed a team of 6 engineers, achieving 3x throughput, RPS, and enabling 15M+ account creations for partners such as HDFC Payzapp and Sparrow (US)- Workflow Engine Integration: Spearheaded the integration of Temporal Workflow Engine into Zeta’s ecosystem, building internal libraries and APIs to support multi-cluster, multi-tenant systems. Now adopted by 5+ internal teams- Credit Card Bundle Status Feature: Designed and led a critical solution restricting card actions during sensitive states (e.g, delinquency, dormancy). This system processes 1M+ events daily, leading a team of 4 engineers to deliver it.Tech Stack: Java, Spring Boot, Microservices, Kubernetes, Kafka, Apache Flink, Temporal, Camunda, AWS
Education
Nirma University
B.Tech, Computer Science
2015 — 2019
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