Senior Java Full-Stack Engineer with Spring Boot & AWS

Udaya Pashikanti

Full stack Java Developer

+1-219-***-**** **********@*****.*** LinkedIn

PROFESSIONAL SUMMARY:

• Java Full Stack Engineer with 5+ years of experience building scalable microservices, REST APIs, and distributed

systems across financial and healthcare domains

• Specialized in Java, Spring Boot, Kafka, and AWS, delivering high-volume systems handling 10K–100K+ transactions

• Improved API performance and system efficiency with up to 40% latency reduction and 30–50% throughput increase

• Strong expertise in React.js, Docker, Kubernetes, and CI/CD pipelines, enabling scalable and resilient cloud-native

deployments

• Hands-on experience with event-driven architecture using Kafka, supporting real-time data processing and asynchronous

workflows

• Optimized SQL/NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis) to improve query performance and reduce

processing time by up to 35%

• Deployed and managed applications on AWS (EC2, S3, RDS, Lambda, EKS, CloudWatch) ensuring 99.9% uptime and

high availability

• Strong background in Agile/Scrum, TDD/BDD, and cross-functional collaboration delivering production-ready systems.

TECHNICAL SKILLS:

• Languages: Java, Kafka, JavaScript, Python, C++, C, Swift (basic), Kotlin (basic)

• Frontend: React.js, React Native, Angular, TypeScript, HTML5, CSS3, Bootstrap, Material-UI, Redux, AJAX, JSON

• Backend & Services: Spring Boot, Azure Functions, Event Hub, API Design, REST APIs, Microservices, Database Design,

Data Warehouse concepts, API Design, Event-Driven Architecture, Kafka, JPA, Hibernate

• Systems & Infrastructure: Distributed Systems, Storage Systems, Data Pipelines, Telemetry, Logging, high-volume

ingestion, Linux/Unix, performance optimization

• Databases: PostgreSQL, MySQL, MongoDB, Oracle, IBM DB2, Redis, BigTable, NoSQLDatabase Design, Query

Optimization, Indexing, Transactions

• DevOps & Tools: Jenkins, Git, GitHub Actions, Docker, Kubernetes, Terraform, Maven, CI/CD Pipelines, Build

Automation, Release Engineering

• Cloud & Distributed Systems: AWS (EC2, S3, RDS, Lambda, API Gateway, EKS, CloudWatch, MSK, SNS), GCP

(GKE, Pub/Sub, Cloud Functions), Azure (DevOps, Monitor – exposure),Distributed Systems, Data Pipelines, High-Volume

Processing

• Tools & Monitoring: Git, Postman, Swagger, JUnit, Mockito, Cucumber, Selenium, Datadog, Grafana, PagerDuty, Log4j

• Methodologies: Agile, Scrum, SDLC, TDD, BDD, Cross-functional collaboration

EXPERIENCE:

PNC Bank -Software Developer Aug 2024 – Present

• Translated complex financial requirements into scalable Java, Spring Boot, Microservices architecture, supporting 10K–

100K+ transactions/day across distributed systems

• Architected and engineered high-performance REST APIs using Spring Boot, Hibernate, JPA, achieving 35% latency

reduction and 30% throughput improvement

• Designed and delivered full-stack features using React.js, TypeScript, Redux, improving UI responsiveness and end-user

experience across critical workflows

• Built event-driven pipelines using Apache Kafka (AWS MSK), enabling real-time data streaming, fault-tolerant processing,

and asynchronous communication between services

• Optimized database interactions using PostgreSQL, MySQL, Redis caching, indexing, and connection pooling, reducing

query execution time by 40%

• Automated end-to-end CI/CD pipelines using Jenkins, GitHub Actions, Maven, integrating unit/integration testing and

reducing release cycle time by 50%

• Containerized applications using Docker and orchestrated deployments on Kubernetes (AWS EKS), enabling auto-scaling

and zero-downtime deployments

• Deployed and managed cloud-native applications on AWS (EC2, S3, RDS, EKS, MSK, CloudWatch, IAM), ensuring

99.9% availability and high resilience

• Strengthened observability using CloudWatch, Datadog, distributed tracing, structured logging, reducing MTTR by 45%

and improving incident response

• Secured APIs and microservices using Spring Security, OAuth2, JWT, RBAC, implementing encryption and secure

communication (HTTPS/TLS)

• Conducted performance tuning, load testing, and memory optimization, improving system stability under peak loads

• Collaborated with cross-functional teams in Agile/Scrum, contributing to design reviews, code quality.

UnitedHealth Group -Software Developer Feb 2021 –Jul 2023

• Gathered and translated healthcare domain requirements into scalable Java, Spring Boot microservices, improving claims

processing efficiency by 25%

• Designed and developed high-performance REST APIs using Spring MVC, Hibernate, JPA, improving backend throughput

by 30%

• Delivered full-stack applications using React.js, React Native, TypeScript, enhancing cross-platform user experience and

engagement by 30%

• Built event-driven data processing pipelines using Kafka and Azure Event Hub, enabling near real-time healthcare data

processing

• Optimized backend workflows using Redis caching, asynchronous processing, and job scheduling frameworks, reducing

processing time by 35%

• Automated CI/CD pipelines using Azure DevOps, Jenkins, Terraform, integrating build, test, and deployment stages,

reducing failure rate by 40%

• Containerized applications using Docker and deployed on Azure Kubernetes Service (AKS), improving scalability and

environment consistency

• Deployed and maintained applications on Azure (App Services, AKS, Azure Functions, Event Hub, Blob Storage, Azure

Monitor)

• Implemented monitoring and alerting using Azure Monitor, Log Analytics, Datadog, ensuring 99.9% uptime and system

reliability

• Applied secure development practices using OAuth2, JWT, RBAC, HIPAA compliance standards, ensuring secure

healthcare data handling

• Performed unit testing, integration testing, and BDD (JUnit, Mockito, Cucumber), reducing production defects and

improving code quality

• Participated in system design discussions, architecture reviews, and production troubleshooting in Agile environments

HCL Tech - Java Developer Jan 2020 – Feb 2021

• Interpreted enterprise requirements and designed scalable solutions using Java 8, Spring Framework, Microservices

architecture for distributed systems

• Developed and maintained REST, SOAP, and GraphQL APIs using Spring MVC, Hibernate, enabling seamless integration

across enterprise applications

• Built event-driven data pipelines using Apache Kafka and GCP Pub/Sub, improving real-time processing throughput by

50%

• Optimized application performance using JDBC tuning, caching strategies, indexing, and query optimization, reducing

database load by 30%

• Automated CI/CD pipelines using Jenkins, Maven, Git, improving deployment efficiency and reducing manual effort by

40%

• Containerized services using Docker and deployed on Google Kubernetes Engine (GKE), ensuring scalability and resilience

• Deployed cloud-native applications on GCP (GKE, Cloud SQL, Cloud Storage, Cloud Functions, Pub/Sub)

• Implemented monitoring and logging using GCP Stack driver (Cloud Monitoring & Logging), improving issue detection

and resolution time

• Secured APIs and services using Spring Security, authentication mechanisms, encryption protocols, ensuring secure data

transmission

• Collaborated with teams to modernize legacy systems into cloud-native microservices, improving maintainability and

scalability

• Participated in Agile development lifecycle, contributing to sprint planning, code reviews, and production support

EDUCATION:

Master of Science in Computer Science- Western Illinois University GPA 4.0/4.0 Aug 2023 –May 2025

Bachelors of Technology in Computer Science- JNTUH GPA 3.3/4.0 Jul 2018 – Aug 2022

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