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Software Engineer with experience building scalable backend systems and distributed applications using Java, Spring Boot, AWS, Kafka, and cloud-native technologies. Passionate about solving complex technical challenges, designing reliable systems, and delivering high-quality software. Enjoys learning new technologies, collaborating with cross-functional teams, and leveraging AI tools to improve engineering productivity.…Software Engineer with experience building scalable backend systems and distributed applications using Java, Spring Boot, AWS, Kafka, and cloud-native technologies. Passionate about solving complex technical challenges, designing reliable systems, and delivering high-quality software. Enjoys learning new technologies, collaborating with cross-functional teams, and leveraging AI tools to improve engineering productivity.

Fenil Bhimani

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Software Engineer with experience building scalable backend systems and distributed applications using Java, Spring Boot, AWS, Kafka, and cloud-native technologies. Passionate about solving complex technical challenges, designing reliable systems, and delivering high-quality software. Enjoys learning new technologies, collaborating with cross-functional teams, and leveraging AI tools to improve engineering productivity.…Software Engineer with experience building scalable backend systems and distributed applications using Java, Spring Boot, AWS, Kafka, and cloud-native technologies. Passionate about solving complex technical challenges, designing reliable systems, and delivering high-quality software. Enjoys learning new technologies, collaborating with cross-functional teams, and leveraging AI tools to improve engineering productivity.

Available to hire

Software Engineer with experience building scalable backend systems and distributed applications using Java, Spring Boot, AWS, Kafka, and cloud-native technologies. Passionate about solving complex technical challenges, designing reliable systems, and delivering high-quality software. Enjoys learning new technologies, collaborating with cross-functional teams, and leveraging AI tools to improve engineering productivity.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Beginner

Work Experience

Software Engineer at PayPal

May 1, 2024 - Present

Developed backend microservices for the Smart Wallet Platform using Java 17 and Spring Boot to support wallet ledger management and transaction lifecycle processing across multiple regions, reducing duplicate service calls by 20%. Implemented event-driven transaction workflows with Apache Kafka for payments, refunds, rewards accrual, and subscription billing events, using partitioning and retry strategies to improve fault tolerance. Designed and optimized wallet storage using Cassandra and Redis to support balance lookups and financial insights aggregation with p95 latency under 15 ms, reducing database load by 30% via caching and partitioning. Built transaction reconciliation services to detect mismatches against upstream payment processors and banking partners, reducing manual reconciliation effort by 35%. Established observability with Prometheus, Grafana, and OpenTelemetry, and implemented centralized structured logging with ELK plus correlation IDs, reducing debugging time from ho

Software Development Engineer at Morgan Stanley

January 1, 2020 - July 1, 2022

Designed and developed scalable Java microservices for portfolio risk analytics, processing 50,000+ position updates and market events daily with sub-second response times using event-driven fault-tolerant architecture. Built risk dashboard APIs with React.js and Redux, reducing average load times by 35% for 1,000+ risk analysts and portfolio managers. Optimized VaR and stress test pipelines by refactoring algorithms, SQL queries, and Redis caching, reducing batch and streaming calculation latency by 40% during peak market hours. Established CI/CD pipelines with Jenkins and Docker, reducing deployment cycles from hours to under 15 minutes while supporting multiple weekly releases. Led AWS architecture improvements with EC2 and S3 and serverless components, improving pipeline resiliency and reducing operational costs by 20–25%. Strengthened security using OAuth2, JWT, and RBAC to ensure compliance and secure access across risk and portfolio services.