Lukesh Kumar Email & Phone Number

• Developed and maintained CI/CD pipelines using Jenkins and AWS CodePipeline, reducing deployment times by 50%. Integrated automated testing frameworks leading to a 25% reduction in production issues.
• Implemented containerization strategies with Docker, enhancing application portability. Managed orchestration using Kubernetes, achieving a 35% increase in scalability and reliability.
• Set up comprehensive monitoring solutions using Prometheus and AWS CloudWatch, improving system observability and reducing downtime by 20%. Implemented centralized logging with the ELK Stack.
• Integrated security best practices using AWS IAM and HashiCorp Vault, enhancing access control and secrets management. Conducted compliance audits and vulnerability assessments, reducing security incidents by 15%.
• Automated the configuration and management of virtual environments and containerized applications using Docker and Python-based scripts, enhancing deployment consistency by 30% and reducing setup times by 40%.
• Conducted regular security audits and vulnerability assessments within the OpenShift environment, utilizing Prometheus and Grafana for monitoring, leading to a 25% improvement in cluster health and performance.

Fairfield County, Connecticut, United States

• Utilized source code management tool GitHub, GitLab CI/CD to orchestrate automated workflows, enhancing team productivity by 25%and code quality by 20%.
• Professional experience in software development, working on diverse projects that required strong technical skills and adaptability.
• Developed automation scripts in Python to streamline operational tasks, reduce manual effort, and improve system efficiency.
• Managed and administered large-scale distributed systems, ensuring high availability, reliability, and scalability.
• Proficiently utilized various AWS services including VPC, S3, RDS, IAM, EventBridge, and Lambda, resulting in a 40% improvement in thescalability and resilience of cloud architectures.
• Hands-on experience with enterprise monitoring tools such as Grafana, InfluxDB, ELK, and Nagios for monitoring system performance,alerting, and capacity planning.

• Configured and managed Jenkins pipelines, automating testing, builds, and deployments for faster, more reliable releases.
• Created Python scripts to automate tasks, handle data manipulation, and enhance system performance through efficient coding solutions.
• Utilized C programming language to develop robust, efficient code for system-level applications and performance-critical components.
• Managed over 200 Amazon EC2 instances, implemented EC2 Auto Scaling policies resulting in a 35% reduction in manual scalinginterventions, and optimized Elastic Load Balancing to achieve a 99.9% uptime.
• Managed and queried relational databases using SQL, performing complex data operations, and ensuring data integrity and accuracy.
• Worked within development teams on complex software systems, contributing to design discussions, code reviews, and collaborativeproblem-solving.

Master, Computer Science-Information Technology

Bachelor Of Technology, Electrical And Electronics Engineering