Dhruv Khanger

1 yr 7 months production experience · Enterprise Java backend at Adani Group & Nayara Energy scale · Spring Boot · Kafka · AWS · Docker · Microservices. Builds and owns distributed Java microservices handling 1,000+ events/day for two of India's largest enterprise groups — delivering 200+ production APIs, cutting latency 30%, and maintaining zero critical failures across 1.5 years of continuous production ownership.

Backend Engineer - Amazin Automation Solutions India Ltd - Gurugram, India

(2024-11)

1 year 7 months · Delivered enterprise backend systems for Adani Group & Nayara Energy

• Reduced average API response time by ~30% (250 ms → 175 ms across 200+ endpoints) by introducing Redis distributed caching and eliminating N+1 SQL anti-patterns via optimised Hibernate/JPA query strategies on high-volume enterprise workflow systems.
• Delivered 200+ contract-first REST APIs with zero post-release regressions across logistics, approval-workflow, and SAP integration domains by applying OpenAPI/Swagger specification design, versioned Spring Boot controllers, and layered Hibernate/JPA data-access patterns.
• Enabled independent scaling across 5 microservices — eliminating synchronous bottlenecks entirely — by architecting Kafka-based event-driven workflows using CQRS patterns to decouple producers and consumers across distributed enterprise services.
• Cut third-party integration effort by ~60% — enabling real-time bidirectional SAP and device data flow — by building fault-tolerant Spring Boot adapter services with circuit-breaker and exponential-retry patterns, removing manual reconciliation across 3 enterprise systems.
• Maintained zero critical production failures with a sub-4-hour mean time to resolution by owning Linux/Tomcat environments end-to-end — including structured log analysis, distributed-system root-cause debugging, and rapid hotfix deployment pipelines.
• Blocked regressions on 100% of pull requests by authoring JUnit + Mockito unit and integration test suites wired as hard gates into Jenkins CI/CD pipelines; maintained test coverage discipline across a 6-engineer Agile team through structured code review.

Backend Engineer (Fleet & Logistics Management System) - Adani Group

(2024-11)

Fleet & Logistics Management System · Adani Group · Nov 2024 – Present

• Processed 1,000+ fleet events per day reliably — achieving real-time vehicle tracking and driver assignment accuracy — by designing RESTful Spring Boot microservices secured with Spring Security role-based access control and integrated with Oracle-backed geospatial data models.
• Accelerated core trip processing by ~25% — measured by query execution time across the logistics module — by redesigning MySQL and Oracle schemas with composite indexes and replacing ad-hoc queries with parameterised, schema-optimised Hibernate/JPA mappings.
• Reduced approval workflow latency by ~40% — measured by async throughput of trip lifecycle events at scale — by decoupling approval flows from synchronous request cycles using Kafka producers/consumers with CQRS-style command and event separation.
• Eliminated manual SAP reconciliation entirely — achieving continuous automated data synchronisation across enterprise logistics modules — by building fault-tolerant Spring Boot adapter services with circuit-breaker patterns connecting SAP and third-party provider APIs.

Backend Engineer (Auto Announcement & Workflow Platform) - Nayara Energy

(2024-03)

Auto Announcement & Workflow Platform · Nayara Energy · Mar 2024 – Present

• Eliminated ~70% of manual operator effort — automating 500+ daily announcement events — by building a trigger-based workflow engine in Spring Boot that replaced human-driven processes with configurable rule-driven automation across the energy platform.
• Achieved consistent zero-failure SAP data delivery — across announcement devices and enterprise SAP modules — by engineering fault-tolerant adapter layers with circuit-breaker patterns, exponential retry logic, and structured observability logging for rapid incident diagnosis.
• Accelerated feature delivery by ~20% — measured by reduced code duplication across announcement and role-management modules — by designing shared Spring Boot component libraries and internal service SDKs adopted by the broader backend team.
• Achieved zero-downtime production deployments — with full staging-to-production environment parity — by containerising microservices with Docker and deploying to AWS EC2 via Jenkins CI/CD pipelines with automated health checks and rollback gates.

B.Tech - Computer Science & Engineering - UIET, Kurukshetra University (2020-08 - 2024-09)