Akhil Ch
Software Developer | Proficient in Java, Spring Boot, React.js, AWS, Microservices, Hibernate, Kafka, Oracle SQL, PL/SQL, Jenkins, REST APIs, and CI/CD
- Role
- Senior Software Developer at MUFG
- Location
- Tempe, AZ, US
- LinkedIn followers
- 500 followers
About Akhil Ch
Results-oriented Software Engineer with 5 years of experience in developing scalable…
Experience
Senior Software Developer
Dec 2023 — Present · Tempe, AZ, US
Architected and deployed a horizontally scalable, event-driven microservices-based loan processing system using Java 17, Spring Boot 3, and Spring Cloud Netflix, supporting 60K+ loan applications/month with 99.97% uptime and reducing approval time from 48 hrs to 4 hrs via an automated workflow engine. Developed RESTful and reactive APIs using Spring WebFlux, RabbitMQ, and Apache Kafka (12 partitions, 3 replicas) handling 4M+ daily transactions with exactly-once semantics, improving reliability. Implemented CQRS and PRP resilience patterns for concurrent transaction and document processing, achieving zero downtime and 30% cost reduction. Built a distributed caching layer with Redis Cluster (3-node) and Spring Cache, achieving a 56% cache-hit rate and reducing database load by 60%. Integrated distributed tracing via Spring Cloud Sleuth, Zipkin, and ELK Stack, cutting MTTR from hours to 15 minutes via centralized log correlation. Established observability using Prometheus, Grafana, ELK Stack, and Spring Boot Actuator, covering 90%+ metrics and enabling proactive Slack/email alerts. Built CI/CD pipelines with Jenkins and GitHub, integrated SonarQube (90%+ coverage) and Snyk, and automated deployments to AWS EKS Kubernetes with Docker, HPA/VPA auto-scaling, and zero-downtime releases. Optimized DB performance using PostgreSQL 14 partitioning (120M+ records), HikariCP, and read/write separation via CQRS, improving query speed and scalability. Strengthened security via Spring Security RBAC, AES-256 encryption, and TLS 1.3, achieving SOC 2 Type II compliance. Implemented monitoring and incident management with Datadog/New Relic APM, PagerDuty, and custom Slack/email alerts, reducing on-call fatigue by 40%. Delivered a data analytics and reporting platform using Spring Batch and Apache Spark ETL processing 5M+ records nightly, visualized in Tableau, boosting loan accuracy by 35%.
Education
Lewis University
Master's degree
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