Java

Pavan Kumar Bathini

Software Engineer

United States 913-***-**** *****************@*******.*** LinkedIn SUMMARY

Software Engineer with 4+ years of experience designing and developing scalable systems. Specialized in Java (Spring Boot) and Python (Flask/FastAPI), building cloud-native microservices on AWS and Kubernetes. I have developed high- performance REST APIs, Kafka-based event-driven systems, and distributed systems. I have skillset such as CI/CD automation using Jenkins, GitHub actions, Terraform, and Python scripting which ensures reliable production releases. I possess a solid experience in secure authentication, cloud migrations, observability, and am successful in Agile settings where I provide resilient backend platforms.

EDUCATION

Master of Computer Science and Management Avila University TECHNICAL SKILLS

Programming & Scripting: Java, Python, SQL, JavaScript, Bash/Shell Scripting Frontend: React.js, HTML5, CSS3, Bootstrap UI Integration with Backend APIs, Responsive Design Backend Development & APIs: Spring Boot, Spring MVC, Spring Data JPA, Hibernate Spring Security, Microservices Architecture, RESTful API Development, GraphQL, OAuth2, JWT Authentication, Secure API Design Cloud & DevOps: AWS (EC2, ECS, EKS, Lambda, S3, RDS, DynamoDB, CloudWatch), Docker, Kubernetes, Terraform, Messaging & Event Streaming: Apache Kafka, Event-Driven Architecture, Asynchronous Processing Databases & Storage: Amazon RDS, DynamoDB, PostgreSQL, MySQL, MongoDB, AWS Redshift, AWS Glue Testing & Quality Engineering: JUnit, Mockito, Selenium Automated Regression Testing, Integration Testing System Design & Performance: Distributed Systems, High-Throughput APIs, Redis Caching, Performance Optimization, Scalability, CI/CD Pipelines, Jenkins, GitHub Actions Observability & Monitoring: AWS CloudWatch, Logging & Metrics Monitoring, Backend Reliability, Production Support Collaboration & Development Practices: Git, Jira, Confluence, Agile/Scrum, Code Reviews, Mentorship PROFESSIONAL EXPERIENCE

Software Engineer McKinsey & Company Feb 2025 - Present

• Created scalable cloud-native Java (Spring Boot), Node.js, and AWS-based (ECS, Lambda, RDS, and DynamoDB) microservices Reduced development cycle time and accelerated feature releases.

• Created high-throughput backend REST APIs using Spring Boot, Redis caching and Kafka to handle asynchronous processing Reduced API response time by 45% and improved reliability under peak traffic.

• Implemented automation using Python scripts, Terraform, Jenkins, and GitHub Actions, improving deployment success rates by 40%.

• Developed secure layers of backend service that Integrated backend microservices with React-based UI components through secure APIs.through APIs that provide smoothness, scalability and data flow consistency across services.

• Moved legacy C#/.NET monoliths into Dockerized Spring Boot microservices that run on Kubernetes (EKS), increased resiliency, and scalability and lowered cloud infrastructure expenses.

• Improved cloud data pipelines with AWS Glue, Redshift and Python-based ETL pipelines, which created near real-time analytics, which increased marketing effectiveness by 22% and pricing optimization by 18%.

• Developed an enhanced engineering culture via mentorship, code reviews as well as best practices in backend security, testing automation, observability, and cloud monitoring, which enhanced system steadiness and productivity.

Software Engineer CueTech Systems Apr 2020 - Jun 2023

• Created Python (Flask, FastAPI) and Java backend RESTful APIs, which simplified customer onboarding, reduced the time to create an account, and generally increased the efficiency of the platform.

• Introduced secure authentication and authorization using OAuth2, JWT, and AWS Cognito, which enhanced the payment system and reduced gaps by 35%.

• Improved fraud identification through addition of Kafka event streams, and enabled close to real-time tracking of transactions and reduced fraud by 40%.

• Used Selenium, JUnit and Appium to automate regression and integration testing, which increased test coverage, reduced manual QA effort, and reduced production defects to release more reliable versions.

• Developed GraphQL and REST endpoints supporting React dashboards for business transaction insights.

• Helped to move core workloads to AWS Cloud (EC2, S3, RDS), which could be scaled by 50% during peak demand and saved on-prem infrastructure expenses.

• Worked in Agile cycles, participated in sprint planning, backlog grooming, and retrospectives to make sure the backend releases are secure, compliant, and on time. PROJECTS

Inventory Management System (Spring Boot + React + GCP)

• Built a full-stack inventory platform using Spring Boot, React.js, and Cloud SQL, enabling smooth item tracking, updates, and reporting.

• Deployed the system on Google Cloud Run, integrated Cloud Storage for file handling, and implemented Pub/Sub– based asynchronous event messaging to improve reliability.

• Automated end-to-end deployments with Cloud Build CI/CD, reducing manual intervention and ensuring consistent, fast releases.

Employee Management System (Java Microservices + AWS ECS)

• Designed a microservices-based backend using Java, Spring Boot, and PostgreSQL, exposing secure REST APIs with Spring Security + JWT.

• Containerized services with Docker and deployed to AWS ECS, improving scalability, fault tolerance, and operational efficiency.

• Documented APIs using Swagger, and strengthened code quality through automated testing with JUnit and Mockito. CERTIFICATIONS

• AWS Certified Solutions Architect – Associate (2024)

• Web Design for Everybody: Basics of Web Development & Coding (Coursera – University of Michigan, 2022)

• Python Data Structures (Coursera – University of Michigan, 2021)

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