Parth Chauhan

Seasoned DevOps engineer/architect with over 10+ years of extensive experience in architecting, designing, and managing large-scale cloud infrastructures on AWS. Proficient in leveraging an array of DevOps tools and technologies, including Terraform, Kubernetes, Jenkins, GitHub Actions, Docker, Ansible, and shell scripting, to architect robust and scalable solutions tailored to meet business objectives. Adept at implementing CI/CD pipelines to accelerate software delivery and improve efficiency across development teams. Experienced in containerization, microservices architecture, and serverless computing, with a proven track record of optimizing resource utilization and scalability. Strong problem-solving abilities and a collaborative mindset, consistently delivering innovative solutions to complex technical challenges. Committed to staying updated with emerging technologies and best practices in the rapidly evolving DevOps landscape.

AWS Certified Solutions Architect Associate

• Highly Scalable Microservices Architecture on AWS: Led the design and implementation of a highly scalable microservices architecture on AWS for a global e-commerce platform. Utilized AWS services such as EC2, S3, RDS, Lambda, and API Gateway to architect a fault-tolerant and resilient system capable of handling millions of concurrent users. Leveraged Kubernetes for container orchestration, implementing auto-scaling policies to dynamically adjust resources based on traffic demand. Implemented CI/CD pipelines using Jenkins and GitHub Actions to automate the deployment process, reducing time-to-market for new features and enhancements. The solution resulted in improved scalability, reliability, and cost-efficiency, accommodating the rapid growth of the platform while maintaining high performance.
• Serverless Data Processing Platform for Real-Time Analytics: Designed and deployed a serverless data processing platform on AWS for real-time analytics for a leading IoT provider. Leveraged AWS Lambda, Kinesis, DynamoDB, and S3 to ingest, process, and analyze streaming data from millions of IoT devices in real-time. Utilized API Gateway to expose RESTful APIs for data retrieval and integration with downstream systems. Implemented comprehensive monitoring and logging using AWS CloudWatch and ELK stack to ensure high availability and performance. Orchestrated the entire solution using Terraform, enabling infrastructure as code practices for automated provisioning and management. The serverless architecture provided scalability and cost savings by eliminating the need for managing and provisioning servers, resulting in a highly efficient and cost-effective data processing platform.
• Scalable Web Application Architecture on AWS: Led the design and implementation of a scalable web application architecture on AWS for a high-traffic e-commerce platform. Leveraged a combination of AWS services to ensure high availability, performance, and cost-effectiveness. Utilized EC2 Auto Scaling to dynamically adjust compute capacity based on traffic fluctuations, ensuring seamless user experience during peak periods. Implemented API Gateway with AWS Lambda for the backend API layer, enabling serverless compute for handling API requests with low latency and high scalability. Utilized Amazon ElastiCache for caching frequently accessed data, optimizing application performance and reducing database load. Deployed RDS for MySQL to manage relational data with built-in high availability and automated backups, ensuring data durability and integrity. Utilized Amazon S3 for storing and serving static assets and media files, enabling scalable and cost-effective storage. Orchestrated the entire architecture using Terraform, enabling infrastructure as code practices for automated provisioning and management. The scalable web application architecture provided the foundation for the e-commerce platform to handle spikes in traffic, deliver a seamless user experience, and support business growth.