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Sai Krishna Aianala

Software Engineer • Overland Park, KS • s**************@gmail.com • +19******776 • drivetube.ai/•••••

Professional Summary

Software Engineer with 5 years of experience building scalable, secure, cloud-native applications using Java, Spring Boot, and React. Proven expertise in microservices architecture, REST API design, distributed event-driven systems, and secure backend development integrated with relational and NoSQL databases. Experienced deploying services to AWS and Azure with containerization and CI/CD, and collaborating in Agile teams to deliver production-quality features and observability improvements.

Technical Skills

Programming Language: Java,Python,JavaScript,SQL
Frontend Technologies: React,Redux,Angular,HTML5,CSS3,Bootstrap,Solid.js
Backend Technologies: Spring Boot,Spring MVC,Hibernate,JPA,Spring Cloud,Spring Security
Databases: Oracle,MongoDB,MySQL
Cloud Platforms: Amazon Web Services,EC2,S3,Lambda,AWS RDS,Microsoft Azure
Version Control & Development Tools: Git,GitHub
DevOps & Infrastructure: Docker,Kubernetes,Jenkins,Terraform,Continuous Integration,Continuous Deployment
Testing & QA: JUnit,TestNG,Mockito,Selenium,SLF4J,Test-Driven Development
Messaging & Monitoring: Apache Kafka,JMS,ELK Stack,CloudWatch,Prometheus,Grafana
Architecture & Design Patterns: Microservices,MVC,System Design
Identity & Access Management (IAM): JWT,RBAC,OAuth2.0
Project Management & Collaboration: Kanban,Jira,Agile,Scrum,SDLC

Work Experience

UnitedHealth Group
USA
Software Engineer
Mar 2025 – Present
Worked on cloud-native insurance policy and claims platforms; developed backend services and dashboards used for policy lifecycle and claims processing.
Tech Stack: Java, Spring Boot, Spring Cloud, Oracle, Kafka, Jenkins, Docker, Kubernetes, CloudWatch, Prometheus, Grafana
  • Designed and maintained Spring Boot microservices for insurance policy and claims workflows, improving platform reliability to 99.5% uptime through resilient service design and Spring Cloud integrations.
  • Implemented secure REST and SOAP APIs with Spring Security and OAuth2/JWT-based RBAC, enforcing enterprise compliance and API versioning for policy lifecycle management.
  • Optimized backend performance by introducing database indexing and a distributed caching layer, reducing average API latency from 800ms to 180ms and lowering DB load by ~60%.
  • Engineered event-driven claim notification pipelines using Apache Kafka to decouple processors and handle over 10k claim events/hour, increasing throughput and fault tolerance during peak windows.
  • Established CI/CD pipelines with Jenkins, containerized services with Docker and Kubernetes (EKS), enabling on-demand zero-downtime deployments across environments.
  • Improved observability using CloudWatch, Prometheus, and Grafana with centralized logging and metrics, shortening mean time to repair (MTTR) for production incidents.
HCL Technologies
India
Software Engineer
Jun 2022 – Dec 2023
Built event-driven order management and admin portals for a retail client; focused on inventory coordination, product catalogs, and deployments on Azure.
Tech Stack: Java, Spring Boot, MongoDB, Apache Kafka, Angular, GraphQL, Jenkins, GitHub Actions, Docker, Kubernetes, Microsoft Azure, Grafana
  • Built Spring Boot microservices and Kafka-based event flows for an order management system that processed 50K+ daily transactions, improving consistency across fulfillment, payment, and notification services.
  • Architected flexible product catalog storage using MongoDB to support dynamic product schemas, enabling faster feature rollout and flexible querying for product data.
  • Implemented Redis-backed caching patterns and API optimizations to achieve sub-100ms response times for real-time inventory reads during peak traffic.
  • Delivered responsive Angular admin portals integrating REST and GraphQL endpoints to enable dynamic querying and accelerate product management workflows.
  • Automated CI/CD with Jenkins and GitHub Actions and deployed services to Azure with autoscaling policies, increasing release frequency and improving environment parity.
  • Containerized services with Docker and orchestrated with Kubernetes; implemented Grafana dashboards to monitor latency, throughput, and error rates for client stakeholders.
Tata Consultancy Services (TCS)
India
Software Engineer
Apr 2020 – May 2022
Worked on decomposing a monolithic Java application into microservices and delivered REST APIs and data-performance improvements for enterprise applications.
Tech Stack: Java, Spring Boot, Spring Data JPA, MySQL, JUnit, Mockito, SLF4J, Swagger, OpenAPI, Git, Jira
  • Contributed to decomposing a legacy monolith into Spring Boot microservices, increasing modularity and enabling independent service scaling and deployments.
  • Designed and implemented RESTful APIs with Spring Boot and Spring Data JPA, documenting endpoints with Swagger/OpenAPI to improve developer onboarding and integration.
  • Reduced average query execution time by 30% across three modules by applying JPA query tuning, indexing strategies, and Spring transaction management.
  • Wrote unit and integration tests with JUnit and Mockito achieving ~80% coverage for assigned modules and driving a measurable reduction in post-release defects over consecutive sprints.
  • Participated across SDLC activities in Agile Scrum teams, from requirements analysis through deployment and production support, improving sprint delivery predictability.
  • Supported post-release debugging and root-cause analysis using structured logging (SLF4J), lowering time-to-triage for production issues.

Education

University of Central Missouri
Masters in Computer Science (Cybersecurity) • Warrensburg, MO, USA • Jan 2024 – Aug 2025

Certifications

AWS Certified Cloud Practitioner (CLF-C01) — Amazon Web Services
AWS Certified Developer - Associate (DVA-C02) — Amazon Web Services

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