Shashikant Shashi is a Senior DevOps Engineer with 9+ years of experience in leading DevOps transformations and implementing CI/CD practices across multi-cloud environments. He has a proven track record of enhancing deployment speeds and reducing infrastructure costs.
Led a cloud-native DevOps transformation resulting in significant performance improvements.
Automated configuration for over 100 Linux servers, reducing manual errors.
Implemented comprehensive CI/CD pipelines across multiple environments, enhancing deployment reliability.
Migrated core AWS infrastructure to Terraform, improving management and scalability.
Mentored team members on best practices in DevOps and automation.
Achieved an 18% improvement in access times for a customer-facing application.
Increased deployment speed by 25% and reduced infrastructure costs by 4%.
Improved customer retention rates by 20% and achieved a 5x increase in customer satisfaction and revenue.
Automated configuration and maintenance for over 100 Linux servers, reducing manual errors.
Overview: This project focused on creating a web application for a new customer, enabling insurance policy creation on AWS and GCP. Responsibilities: Created GitHub action pipelines for code build, Docker image creation, push to AWS ECR, and deployment to AWS EKS, including automated testing and rollback on failure. Led a successful cloud-native DevOps transformation, resulting in 18% improvement in access times, 25% increase in deployment speed, and 4% reduction in infrastructure costs.
Key outcomes:
Achieved an 18% improvement in access times for a customer-facing application.
Increased deployment speed by 25% and reduced infrastructure costs by 4%.
Overview: This project focused on enterprise automation, leveraging IBM uDeploy, Ansible, Kubernetes, and Docker for various deployment and monitoring initiatives across cloud and on-premises environments. Responsibilities: Designed and implemented various deployment pipelines in IBM UrbanCode (uDeploy). Migrated pipelines from IBM uDeploy to Cloudbees. Automated processes and reports using Python, Perl, and Shell scripting.
Key outcomes:
Migrated deployment pipelines from IBM uDeploy to Cloudbees, improving automation capabilities.
Implemented robust monitoring systems (Nagios, Zabbix) for both production and development environments.
BEL USA LLC — AWS Infrastructure + lambda → Terraform migration + DR site deployment in AWS via BitBucket Pipelines. Terraform + AWS + BitBucket Pipelines + Python + .NET.
Key outcomes:
Successfully migrated core AWS infrastructure to Terraform for improved management.
Established a functional Disaster Recovery site in AWS, enhancing resilience.
Automated lambda function deployments across multiple languages.
Enterprise Automation + DevOps — IBM uDeploy + Ansible + Kubernetes + Docker across cloud + on-premises.
Key outcomes:
Migrated deployment pipelines from IBM uDeploy to Cloudbees, improving automation capabilities.
Implemented robust monitoring systems (Nagios, Zabbix) for both production and development environments.
Enhanced application security by integrating Docker image scanning (Trivy) and code quality analysis (SonarQube).
Streamlined development workflows by integrating Ansible automation with CI/CD pipelines.
Provisioned and managed complex cloud and on-premises infrastructure components, including MongoDB clusters and AWS networking services.
Shashi
GitOps