Nisarg Bhatti

• Designed thread-safe concurrency controls for a transaction-heavy internal operations platform using Java J2EE, preventing race conditions and inconsistent transaction states under concurrent batch and request loads. • Architected 8+ Spring Boot microservices isolating legacy logic, reducing cross-system failures by 35% and improving deployment independence by 40% during phased modernization. • Refined persistence logic for high-throughput transactional workflows by creating performance-critical Oracle SQL schemas and stored procedures, resolving latency and consistency constraints in an existing enterprise database. • Standardized multi-module application deployments through Docker container configurations, eliminating environment-specific failures that previously blocked integration testing and delayed SDLC handoffs. • Delivered supporting UI functionality for an internal enterprise platform using React.js and JavaScript, ensuring strict alignment with backend contracts to avoid disrupting server-side release timelines.

• Executed automated SSL certificate rotation using Python across multiple production microservices, eliminating manual renewal points and significantly reducing outage risks from certificate expiration. • Built and stabilized 15+ backend Java microservices with Spring Boot and Spring Reactive, maintaining robust API behavior for latency sensitive, production-critical integrations under downstream dependency failures. • Established persistence layers using Hibernate and Spring Data JPA, prioritizing transactional correctness and query performance for critical paths across MySQL, PostgreSQL, and MongoDB. • Created Azure DevOps CI/ CD pipelines with gated builds and automated validations, preventing unstable releases from reaching production and enhancing deployment reliability. • Deployed containerized services using Docker on AWS, standardizing runtime environments, scaling production workloads, and improving service availability and operational reliability.

• Redesigned MySQL relational schema eliminating 90% of insert/ update failures, improving data integrity and supporting 2x increase in transaction throughout. • Enhanced PostgreSQL query performance through index tuning, reducing average load times by ~30% for internal users accessing daily operational reports. • Integrated frontend logic with backend services using JavaScript and REST API calls, resolving broken user flows and ensuring transactional screens consistently reflected committed server data. • Structured request handling in Spring MVC with controller-service isolation, accelerating backend change velocity and enabling clean addition of new endpoints without codebase ripple effects.