Shreyash Jagtap
Results-oriented Dev Ops Engineer with 2+ years of experience in orchestrating cloud infrastructure and container environments. Proven track record of improving deployment frequency by 40% and reducing build-to-deploy times by 75% through robust CI/CD pipelines. Expert in Kubernetes, AWS, and Linux administration, focused on maintaining high availability (99.95% uptime) in production environments.
Experience
DevOps Engineer
Tata Elxsi
Managed and hardened a fleet of 50+ Linux servers, reducing security vulnerability surface by 30% through systematized Ansible playbooks and CIS benchmarking. Optimized containerized workloads in production Kubernetes clusters, achieving a 99.95% uptime record and reducing resource overhead by 15%. Engineered end-to-end CI/CD pipelines using Jenkins and Docker, cutting average build-to-deploy time from 45 minutes to under 12 minutes.
Architected and maintained scalable AWS infrastructure (EC2, S3, VPC), resulting in 20% cost savings through reserved instance planning and resource rightsizing. Enhanced system observability by deploying Prometheus and Grafana stacks, reducing Mean Time to Detection (MTTD) of production incidents by 50%. Led Root Cause Analysis (RCA) for critical incidents, enforcing preventative measures that decreased recurring production bugs by 25%.
Associate DevOps Engineer
Ai Adventures LLC
Executed cloud infrastructure deployments for 10+ client projects using AWS (EC2, S3, RDS), ensuring high availability and fault tolerance. Streamlined network security by configuring VPC, Subnets, and IAM policies, reducing unauthorized access attempts by 40% during the first year.
Mechanized 15+ hours of weekly manual operations by developing custom Python and Shell automation scripts for system maintenance. Improved system reliability through proactive logging and monitoring, resolving 90% of performance bottlenecks before they impacted end-users.
DevOps Intern
Ai Adventures LLC
Computerized legacy manual deployment steps using modular shell scripts, saving approximately 20 man-hours per month for the engineering team. Supported the maintenance of CI/CD pipelines, increasing successful build rates by 15% through refined unit testing stages. Configured Amazon Cloud Watch alerts for critical resources, improving incident response time by 35% during the internship period.
Education
Savitribai Phule Pune University
Bachelor of Engineering (B.E.)
CGPA: 8.55
Kendriya Vidyalaya No.3 9BRD
Higher Secondary Education (12th - Science)
76.8%
Kendriya Vidyalaya No.3 9BRD
Secondary Education (10th)
85.0%
Skills
PythonJavaObject-Oriented Programming (OOP)Data Structures & AlgorithmsSQLMyMongoDBFirebaseAmazon Web Services (AWS)Google Cloud Platform (GCP)DockerKubernetesJenkinsAnsibleCI/CD PipelinesLinux Administration (RHEL/Ubuntu)
Projects
Open Telemetry Full-Stack Observability Demo
Built a full-stack observability demo using OpenTelemetry; applied distributed tracing across microservices to identify latency bottlenecks, improving debugging efficiency by 40%.
Kubernetes + Rancher Cluster Architecture (AWS)
Designed and established a production-grade K8s cluster on AWS; utilized Calico for network security and NGINX Ingress to manage traffic for 5+ concurrent web applications.
3-Tier Full-Stack Flask Blog Application
Developed a scalable blogging platform; integrated MySQL connection pooling to handle a 3x increase in concurrent database requests.
Time Series Traffic Forecasting System
Implemented a traffic prediction system using the ARIMA time-series model to analyze historical datasets and generate future traffic forecasts through a Flask-based interface.
WordPress Site Manager with Docker
Automated deployment and management of WordPress sites using Docker Compose with a LAMP stack and Bash scripts for container orchestration.
End-to-End DevOps CI/CD Pipeline
Built a complete CI/CD pipeline for a Java Spring Boot application using Jenkins, Docker, and Ansible, enabling automated build and deployment on AWS infrastructure.