Java Full-Stack Developer - Microservices & Cloud Expert

Akhil Chowdary Dadi

*************.****@*****.*** 312-***-**** Akhil Chowdary Dadi LinkedIn

Summary:

Java Full Stack Developer with 7 years of experience building scalable, distributed applications using Java, Spring Boot, Microservices, and REST APIs. Strong background in event-driven architectures (Kafka, RabbitMQ), cloud platforms (AWS, Azure), and performance-optimized backend systems. Experienced in designing secure, compliant financial applications, implementing CI/CD pipelines, and collaborating with cross-functional teams to deliver reliable, maintainable enterprise solutions.

Technical Skills:

Programming Languages: Java (Core Java, Collections, Multithreading), JavaScript, TypeScript

Backend & Frameworks: Spring Boot, Spring MVC, Spring Security, Spring Data JPA, Hibernate, Microservices, RESTful APIs

Frontend: Angular, React, HTML5, CSS3

Cloud & DevOps: AWS, Docker, Kubernetes, Jenkins, Git, CI/CD pipelines

Databases: Oracle, PostgreSQL, MongoDB, Redis, DynamoDB

Messaging & Streaming: Apache Kafka

Build & Testing Tools: Maven, Gradle, Junit, Mockito, Postman, Cypress

Core Concepts: Object Oriented Programming, Data Structures & Algorithms, System Design, Distributed Systems Professional Experience:

Infosys - Toyota, USA May 2024 – Present

Technology Stack: Java 17, Spring Boot 3, Angular 17, MongoDB, REST APIs, Spring Cloud, Kafka, AWS

Enhanced the performance and reliability of distributed systems by developing Spring Boot microservices with efficient Spring MVC REST endpoints, improving API responsiveness and strengthening inter service communication across platforms.

Improved UI response and rendering efficiency by rewriting legacy Angular components during Toyota’s upgrade cycle, reducing load times and enhancing overall performance by 20%.

Scaled MongoDB workloads by restructuring collections, optimizing sharding strategies, and improving data distribution for high traffic enterprise applications.

Optimized Kafka based event pipelines at Toyota by tuning partitions, consumer groups, and message throughput, improving processing performance and reducing latency across high volume microservices.

Built and maintained CI/CD pipelines using Jenkins, automating build, test, and deployment workflows to ensure faster, more reliable releases across microservices.

Deployed microservices using Spring Cloud (Config, Eureka, Gateway) and hosted them on AWS ECS Fargate, improving scalability, service discovery, and fault tolerance across distributed systems by 30%.

Ensured high code quality by integrating JUnit, Mockito, and SonarQube into the development workflow, enabling early detection of bugs and consistent adherence to coding standards.

Actively monitored production systems using AWS CloudWatch, investigating logs, health checks, and alerts to troubleshoot issues and ensure high availability of Spring Boot microservices. Infosys - Wells Fargo, USA September 2021 – May 2024 Technology Stack: Java 11, Spring Boot 2.0, PostgreSQL, Kafka, AWS, React

Developed secure, modular Spring Boot microservices and RESTful APIs to support regulated banking workflows, enabling consistent data exchange, clear service boundaries, and reliable integration across distributed financial platforms.

Strengthened application security by configuring OAuth2 flows (authorization code, client credentials) within Spring Security, ensuring auditability, traceability, and adherence to strict banking compliance requirements.

Improved the performance of the application by tuning JPA and Hibernate entity mappings, optimizing query execution paths, and reducing database overhead to deliver faster, more responsive financial transactions.

Utilized PostgreSQL for durable transactional storage and Redis for high speed caching, enabling reliable financial data processing and reducing latency across distributed systems.

Implemented event driven architectures using Apache Kafka for high throughput streaming and RabbitMQ for reliable message queuing, enabling resilient, scalable communication across distributed banking systems.

Integrated React components with REST APIs, implementing efficient data fetching, error handling, and real time UI updates for seamless user experiences.

Designed and implemented AWS based caching solutions using Redis to improve transaction processing reliability, reduce database load, and ensure low latency access to financial data across banking applications. Silicon Valley Bank, USA July 2021 – September 2021 Technology Stack: Java, Spring Boot, OpenAPI, Azure, MongoDB

Developed a Spring Boot microservice to automate API maturity scoring, improving deployment readiness and standardization across services.

Worked with MongoDB on schema design, indexing, and performance tuning to support scalable data operations in cloud-based environments.

Implemented monitoring and health checks with Spring Actuator, improving production visibility and reliability for backend services.

Simeio Solutions, India August 2017 – July 2019

Technology Stack: Java, Spring Boot, Oracle DB, Saviynt

Built and enhanced server-side Java components using Spring Boot to support identity and access management workflows, contributing to a measurable improvement in system performance and reliability by 60%.

Designed and implemented RESTful APIs to retrieve and update identity data across internal databases and Active Directory, ensuring secure and consistent data flow across services.

Participated in migrating employee and access-related data from legacy systems to a centralized IAM repository, improving data accuracy and simplifying access governance processes.

Collaborated with a cross-functional Agile team to integrate backend services with identity management modules, ensuring smooth feature delivery and stable end-to-end functionality. Education:

Master of Science in Computer Science, Illinois Institute of Technology, Chicago, USA August 2019 - May 2021

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