Shubham Bhati

Backend engineer at MobilePe Fintech, architecting low-latency payment processing pipelines and owning core microservices utilizing Java, Spring Boot 3.4+, Apache Kafka and Redis.

• Cut payment API latency by 35% by offloading synchronous database writes from the Kafka listener thread, tuning consumer concurrency and connection pools to eliminate production backlogs
• Architected and delivered 3 core production microservices (onboarding-service, payment-service and notification-service) alongside the legacy monolith with backward-compatible endpoints
• Led migration of user records and multi-wallet balances (General, Food and NCMC) into the microservices architecture using chunked batch writes and checksum audits with zero balance desync
• Engineered Mobileware UPI PPI and M2P integrations with custom RSA crypto signing, 5 webhook callbacks, idempotency keys, database locking and a double-entry ledger with hold-then-settle processing
• Built KYC verification pipelines (Aadhaar, PAN and Syntizen VKYC webhooks) using AES-256-GCM encryption and HMAC-SHA256 blind indexing for fast querying without exposing raw PII

Backend engineer on the Justransform Enterprise B2B Integration Platform (iPaaS), powering reliable REST, SFTP and AS2 pipelines for 10+ enterprise clients while driving legacy modernization and platform stability.

• Designed transformation orchestration engines for logistics iPaaS pipelines handling REST, SFTP and AS2 data protocols across 10+ client pipelines
• Built OpenAI-powered pipeline for automated EDI/JSON validation — reduced manual debugging by 30%
• Resolved 15+ high-priority production incidents through system debugging and root-cause analysis
• Leveraged AWS SQS and RabbitMQ for decoupling event-driven transaction processing at scale
• Migrated microservices from Java 11 to Java 17 and integrated OAuth 2.0 JWT Spring Security

Built scalable healthcare backend systems for claims processing, implementing transformation engines converting complex healthcare JSON into FHIR-compliant objects.

• Built JSON-to-FHIR data transformation engines processing high-frequency healthcare claim records
• Optimized database layer by resolving N+1 query issues and implementing composite indexes in MySQL, slashing API latency on high-frequency lookup endpoints
• Developed multi-layered validation pipelines using Spring Data JPA and a custom exception-handling framework