About
Highly motivated DevOps Engineer and AWS Cloud Trainee with hands-on expertise in AWS, CI/CD, Docker, and Jenkins. Proven ability to optimize deployment processes, ensure system reliability, and reduce operational inefficiencies through Python and Bash automation. Eager to leverage strong cloud and DevOps skills in a dynamic IT environment to drive significant improvements and contribute to scalable infrastructure solutions.
Work
Remote/Hybrid, India
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Summary
Contributed to DevOps initiatives, optimizing cloud infrastructure and CI/CD pipelines to enhance system reliability and operational efficiency for client projects.
Highlights
Provisioned essential AWS services including EC2, IAM, and S3 for scalable cloud environments, significantly reducing setup time by 40%.
Automated end-to-end CI/CD pipeline deployment using Jenkins and GitHub, which improved build speed by 60% and increased deployment reliability by 80% in a live environment.
Containerized applications with Docker, streamlining deployment processes and reducing overall deployment time by 30%.
Developed Python and Bash automation scripts for routine tasks, resulting in a saving of over 50 hours per month in manual effort.
Implemented robust AWS CloudWatch monitoring solutions, enhancing system uptime and enabling proactive issue resolution by 25%.
Skills
Networking
TCP/IP, DNS, Load Balancing (Basic).
Operating Systems
Linux (Ubuntu), Windows.
Databases
MySQL.
Cloud Platforms
AWS (EC2, S3, IAM, Lambda, RDS, VPC, CloudWatch).
DevOps Tools
Docker, Jenkins, Git, GitHub, Kubernetes (Basic).
Scripting & Programming
Python, Bash, JavaScript (Basic).
Soft Skills
Analytical Problem Solving, Fast Learning, Team Collaboration, Time Management, Effective Communication, Technical Curiosity, Agile Mindset, Adaptability.