Software Engineer with 5+ years of production-grade microservices

Sandeep Kumar Nandyala

Software Engineer

(***)- 331- 4247 *******.*@************.*** LinkedIn

Summary

Software Engineer with 5+ years delivering production-grade microservices across the full development lifecycle using Java Spring Boot, React.js, and Docker/Kubernetes CI/CD. Expertise in JVM performance tuning with profiling tools, SQL optimization through index tuning and caching, Python Flask automation, multi-cloud infrastructure on Azure and AWS delivering high-performance applications. Skills

Methodologies: SDLC, Agile (Scrum), Microservices Architecture, Waterfall Programming Languages: Java, C#, C, TypeScript, JavaScript, Python, SQL Frontend: React, TypeScript, JavaScript, Angular, HTML5, CSS3, Bootstrap, Redux Backend: Node.js, Express.js, Java (Spring Boot, Spring MVC, Spring Security), ASP.NET Core, .NET 6+, REST APIs, Web APIs, GraphQL, JWT Authentication

Databases: PostgreSQL, MySQL, MongoDB, DynamoDB, SQL Testing Tools: Jest, React Testing Library, Cypress, JUnit, Mockito Cloud & DevOps: AWS (EC2, S3, RDS, Lambda), Azure (Azure App Service, Azure Functions), Docker, Kubernetes, CI/CD Pipelines Build Tools & Version Control: Git, GitHub, GitLab, Maven Architecture & UI Systems: Reusable Components, Design Systems, Micro-frontend Concepts, Service-Oriented Architecture Education

Master of Science in Information Systems and Technology May 2024 University of North Texas, Denton, Texas

Bachelor of Science in Computer Science and Engineering May 2021 SRM Institute of Science and Technology, India

Work Experience

Software Engineer PNC, Texas June 2023 - Current

• Architected and delivered enterprise-grade REST APIs using Spring Boot, JPA, achieving 90% test coverage and reducing production incidents by 30% across mission-critical financial systems.

• Optimized SQL queries and Java-based data access layers through index tuning, query caching, and connection pool management, accelerating financial transaction processing by 40% for high-volume production systems.

• Automated cloud infrastructure provisioning and policy governance using Azure VMs, Blob Storage, and RBAC, improving system resiliency by 25% while optimizing infrastructure spend by 20%.

• Refactored ReactJS components and optimized state management, reducing API calls by 30% and decreasing page load times by 35% for 500+ daily active users.

• Debugged and resolved JVM memory leaks and CPU bottlenecks using Java profiling tools (VisualVM, JProfiler), maintaining 95% uptime during peak loads and ensuring uninterrupted critical data processing operations.

• Implemented CI/CD pipelines using Docker, Jenkins, and Kubernetes for Java microservices, cutting release cycles by 50% and enabling seamless zero-downtime deployments for critical enterprise applications.

• Built automated compliance validation service using Python, Flask, to support diverse technology requirements, reducing manual audit preparation time by 60% for financial operations and demonstrating cross-platform development capabilities.

• Integrated third-party payment and trading platforms through RESTful APIs and PostgreSQL databases, enabling real-time transaction processing with enhanced regulatory compliance and data consistency. Software Engineer Vivma Software Inc, India March 2019 – July 2022

• Buit interactive user interfaces using ReactJS, improving state management and component reusability, which enhanced user engagement and application performance for enterprise clients.

• Designed and deployed Java microservices using Spring Boot and JPA/Hibernate, achieving 85% test coverage through JUnit and TDD practices and enhancing system reliability.

• Tuned SQL database performance through index optimization, JOIN restructuring, and query caching, improving data retrieval speeds by 35% for transaction-intensive applications.

• Configured AWS infrastructure (EC2, S3) with IAM policies for automated resource scaling and security management, increasing system availability while reducing monthly cloud costs by 30%.

• Troubleshot and resolved production system bottlenecks including memory leaks and performance issues, ensuring consistent system stability and 95% uptime during high-traffic periods.

• Implemented JUnit and Mockito testing frameworks to achieve 80% test coverage across 10+ microservices, reducing post- deployment bugs by 40% and improving overall code quality and maintainability.

• Streamlined deployment processes using Docker containerization and Jenkins automation pipelines, reducing release cycle time by 40% and enabling more frequent, reliable production updates.

• Collaborated with cross-functional teams to design scalable database schemas and implement data migration scripts that processed 2M+ records with zero data loss during critical system upgrades.

Contact this candidate