Chandar Rathi
LA, USA +1-562-***-**** **************@*****.*** LinkedIn GitHub
SUMMARY
DevOps and MERN Stack professional with nearly 3 years of experience in AWS, GCP, Docker, Kubernetes, CI/CD, and cloud security system uptime by 30% across production, staging, and testing environments while ensuring reliable deployments, scalable microservices, application performance and secure data handling, enhancing overall operational efficiency and enterprise compliance across multiple applications. TECHNICAL SKILLS
Cloud Platforms: AWS (EC2, ECS, Lambda, RDS, S3, CloudFront, CloudWatch, ECR, VPC), Azure (VM, Storage, Monitor), GCP DevOps & Automation: Docker, Kubernetes, Jenkins, Terraform, Ansible, AWS CodePipeline, GitHub Actions, CloudFormation, CI/CD Pipelines, Helm Infrastructure & Monitoring: Infrastructure-as-Code (Terraform, CloudFormation), Prometheus, Grafana, ELK Stack, AWS CloudWatch, Nagios, Datadog Programming & Scripting: Python, JavaScript (ES6+), TypeScript, Bash, YAML, JSON, SQL Web & Application Development: React.js, Node.js, Express.js, Next.js, FastAPI, Flask, Spring Boot, RESTful APIs, GraphQL, WebSockets Databases: MongoDB, MySQL, PostgreSQL, Redis, DynamoDB, Firebase Realtime DB Frameworks & Libraries: LangChain, TensorFlow, Scikit-learn, OpenCV, Pandas, NumPy, Matplotlib, PyTest, React Query Architecture: Microservices, Containerization, Cloud-Native Applications, Serverless Architecture, Event-Driven Systems, Load Balancing, High Availability Security & Compliance: IAM Policies, Secrets Manager, VPC Security Groups, SSL/TLS, API Authentication (OAuth2, JWT), Vulnerability Scanning Testing & Quality Assurance: Unit Testing, Integration Testing, Postman, JMeter, Selenium, Automated Test Pipelines Project Management & Collaboration: Agile, Scrum, Jira, Confluence, Slack, Technical Documentation, Cross-Functional Coordination PROFESSIONAL EXPERIENCE
Optum, USA Oct 2024 - Current
DevOps Engineer
• Administered AWS and GCP infrastructure, increasing uptime by 30%, accelerating provisioning, minimizing downtime, and reinforcing reliability for production, staging, and testing applications efficiently across multiple environments.
• Optimized CI/CD pipelines with Jenkins, GitHub Actions, Terraform, and CloudFormation, reducing release cycles by 40%, ensuring reliable, automated, and error-free deployments across all production applications and services.
• Directed containerized microservices using Docker and Kubernetes, eliminating 35% deployment failures, improving scalability, and strengthening system stability for high-traffic, mission-critical applications across multiple teams effectively.
• Evaluated system performance using Prometheus, Grafana, ELK Stack, and CloudWatch, detecting 30% more anomalies, accelerating incident response, and improving continuous availability of production applications efficiently.
• Implemented security policies using IAM, VPC, and SSL/TLS, reducing vulnerabilities by 25%, maintaining compliance, and safeguarding sensitive data from unauthorized access across all cloud environments. TCS, India Nov 2022 – Dec 2023
MERN Stack Developer
• Engineered responsive web applications using React.js, Node.js, and Express.js, increasing user engagement by 30% and reducing page load times by 25% for enterprise-level applications.
• Integrated MongoDB and PostgreSQL with RESTful and GraphQL APIs, improving data retrieval efficiency by 28% and supporting high-volume, real- time application performance seamlessly across all workloads.
• Deployed containerized microservices using Docker and Kubernetes, eliminating 35% deployment failures, enabling horizontal scaling, and enhancing production system reliability across multiple application environments efficiently.
• Established CI/CD pipelines using Jenkins, GitHub Actions, and Terraform, automating deployments, decreasing release cycles by 40%, and improving code quality and production system stability significantly. Wipro Enterprises, India Feb 2021 - Oct 2021
DevOps Engineer & Jr. MERN Stack Developer
• Managed AWS EC2, S3, RDS, VPC, and Azure VMs, increasing uptime by 30%, accelerating provisioning, and ensuring operational consistency for production, testing, and staging workloads efficiently.
• Automated deployments using Ansible, Terraform, and AWS CodePipeline, reducing manual effort by 45%, ensuring reliable delivery, and improving deployment consistency for multiple enterprise-level applications.
• Monitored systems with Prometheus, Grafana, ELK Stack, and CloudWatch, detecting 35% more incidents, accelerating resolution, and minimizing production downtime for critical services across environments efficiently.
• Orchestrated containerized workloads with Docker and Kubernetes, optimizing scaling, reducing operational costs by 20%, and ensuring smooth service delivery for multiple production applications reliably. EDUCATION
Master of Science in Computer Science Jan 2024 – Dec 2025 California State University, Los Angeles, USA
Bachelor of Engineering in Computer Science Aug 2019 - May 2023 Gujarat Technological University, India
PROJECT
Vote Sphere – Cloud Powered Election
• Reduced deployment duration by 85% through CI/CD pipelines with GitHub Actions and Docker on AWS ECS Fargate, accelerating feature releases and maintaining consistent production performance.
• Achieved 78% uptime leveraging CloudFront CDN, Application Load Balancer, and health checks, ensuring smooth user experience and high availability during peak election traffic periods.
RAG Ops – LangChain Powered RAG Deployment
• Improved query accuracy by 25% with LangChain and vector semantic search, enhancing information retrieval precision and responsiveness for AI- driven real-time applications.
• Lowered inference latency by 40% through embedding 5storage and retrieval techniques, enabling faster AI responses and increased system efficiency for high-demand workloads.