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PreethiKulandaivelu/README.md

Preethi Kulandaivelu

Cloud & DevOps Engineer | AWS | Kubernetes | CI/CD

Building scalable cloud infrastructure and event-driven systems for EV charging platforms.

• 4 years experience in AWS-based production systems
• Focus: High Availability, Auto Scaling, System Reliability
• Worked on real-time telemetry & distributed system

📍 Based in: Bengaluru, Karnataka, India

📧 Email: kpreethi1119@gmail.com

🔗 LinkedIn: https://www.linkedin.com/in/preethi-kulandaivelu/

Tech Stack

Core:

AWS (EC2, EKS, Lambda, DynamoDB, VPC, CloudWatch)

DevOps:

Terraform, Jenkins, GitHub Actions, Docker, Kubernetes (EKS), Helm

Focus Areas:

  • CI/CD & Zero-downtime deployments
  • High Availability & Auto Scaling
  • Event-driven Architecture

AWS Kubernetes Docker Terraform Jenkins GitHub Actions

Featured Projects

1. EV Charging Infrastructure Monitoring Platform

Stack: AWS, Lambda, CloudWatch, DynamoDB, API Gateway

  • Real-time charger monitoring (status, faults, sessions)
  • Event pipeline using Kinesis + Lambda
  • Auto alerting via CloudWatch (↓ response time by 50%)

2. OCPP-Based EV Charger Simulation & Backend Integration

Stack: Python, Web Sockets, AWS EC2, Docker

  • Simulated charger communication (OCPP protocol)
  • Implemented retry logic for failure scenarios
  • Tested network drop & session recovery

3. CI/CD Pipeline for EV Platform Deployment

Stack: Jenkins, Docker, ECR, ECS, Git

  • Automated deployments using CI/CD pipelines
  • Rolling deployments (no downtime)
  • Reduced deployment time by 60%

4. Kubernetes-Based EV Data Processing System

Stack: Kubernetes, EKS, Helm, PV/PVC

  • Deployed microservices with self-healing
  • Configured persistent storage & secrets
  • Simulated pod/node failures

Engineering Focus

  • Designing fault-tolerant distributed systems
  • Handling real-time event pipelines (Kinesis, Lambda)
  • Building auto-scaling architectures on AWS
  • Debugging production failures & improving reliability

Contribution Streak

GitHub Streak

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  1. PreethiKulandaivelu PreethiKulandaivelu Public