Sai Ganesh Rejeti

Offering strong foundation in IT principles and keen interest in cloud technologies and automation. Brings collaborative spirit and quick learning ability to adapt to new tools and methodologies in DevOps environments. Ready to use and develop skills in scripting and infrastructure management.

1. Production-Ready MERN E-Commerce Platform | Kubernetes • Docker • Jenkins  

Eliminated manual deployments by building an automated CI/CD pipeline and containerized Kubernetes deployment for a MERN e-commerce application.

• Containerized the MERN application using Docker, reducing environment setup time by ~70%.
• Automated build and deployment using Jenkins reducing deployment time by ~80%.
• Deployed the application on Kubernetes, enabling faster scaling and simplified service management.
• Configured MongoDB StatefulSet, Redis, Secrets, and ConfigMaps for secure and reliable application deployment.
• Improved deployment consistency by eliminating manual configuration issues across environments.

2. Highly Available Redis Cluster with Automatic FailOver - Redis, HA-Proxy , Docker

Eliminated a single point of failure by implementing automatic Redis failover for high availability.

• Built a Redis Master-Replica architecture using Docker Compose.
• Configured Redis Sentinel to automatically detect failures and promote replicas, reducing service recovery time by ~90% compared to manual failover.
• Integrated HAProxy to automatically route client traffic to the active Redis master, minimizing application downtime.
• Simulated node failures to validate failover and improve overall system availability.
• Improved infrastructure resilience by ensuring uninterrupted Redis service during master node failures.

3. Fault Tolerant RabbitMQ Messaging System - RabbitMQ, Docker, Python

Built a reliable messaging platform to prevent message loss and improve communication between distributed services.

• Developed asynchronous producer and consumer services using RabbitMQ and Python.
• Configured durable queues and persistent messages, reducing the risk of message loss during broker failures.
• Containerized the messaging system using Docker, reducing deployment setup time by ~60%.
• Simulated broker failures to validate message durability and improve application reliability.
• Designed the architecture to support scalable event-driven microservices.

• https://github.com/saiganesh74
• https://www.linkedin.com/in/saiganeshrejeti/

English - Fluent 

Hindi - Fluent 

Telugu - Native

Data Structures and Algorithms using Python