Developed and maintained CI/CD pipelines using GitLab, automating the deployment process and reducing deployment time by 30%.
Engineered and deployed containerized applications using Docker and Kubernetes across three environments, achieving 50% faster application launch and improving management efficiency for future deployments.
Implemented Kubernetes-based solutions that enhanced deployment efficiency across multiple environments, decreasing release times by 40% and enabling rapid scaling.
Engineered infrastructure provisioning and management using Terraform, streamlining deployment processes across environments while enhancing setup consistency, resulting in a 30% reduction in configuration time for new projects.
Managed cloud infrastructure on AWS, Configured EC2, S3, and IAM within AWS, optimizing performance and ensuring secure access management.
Worked closely with development, testing, and operations teams, ensuring seamless integration and communication for rapid project rollouts.
July 2023
-
Present
Pune, Maharashtra
Education
Bachelor in Computer Application
June 2023
DEOGIRI INSTITUTE OF SCIENCE & TECHNOLOGY
Projects
Automated Deployment Pipeline for E-commerce Platform
Engineered a robust CI/CD pipeline for a high-traffic e-commerce platform, streamlining deployment processes with GitLab and Docker; achieved an impressive reduction in manual intervention by automating over 80% of the integration steps.
The automated pipeline reduced deployment time by 30%, ensuring faster release cycles.
Integrated code testing, building, and deployment into a seamless process using GitLab pipelines and Docker.
Managed AWS deployment environments using EC2 for scalability and S3 for asset storage, resulting in a 20% increase in deployment efficiency and improved resource utilization.
Infrastructure as Code for Multi-Region Setup
Developed a Terraform-based infrastructure for multi-region application deployment, enabling a robust disaster recovery strategy and increasing uptime by 40%.
Engineered an automated provisioning system with Terraform for AWS environments; facilitated version control and repeatable configurations, addressing the top three challenges of resource consistency faced during multi-region deployments.
Set up IAM roles for secure access and EC2 instances with auto-scaling for optimized performance.
Microservices Deployment on Kubernetes
Deployed a microservices-based application on Kubernetes, effectively managing services and optimizing resource allocation, resulting in 25% increased resource efficiency.
Configured Kubernetes clusters with service discovery and load balancing, and implemented Helm charts for consistent application releases, reducing setup time by 30 hours per project on average.
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