DIVYA J

Client: GE Healthcare Pvt Ltd.

• Designed and optimized a Jenkins-based CI/CD pipeline named Image Scanner Desktop, integrating Computed Tomography (CT) and Clinical Software Engineering (CSE) workflows.
• Replaced separate CT and CSE pipelines with a unified pipeline, resulting in a ~75% reduction in overall build and deployment time.
• Automated ISO artifact publishing to Artifactory, allowing seamless ISO downloads to remote servers and improving cross-regional collaboration.
• Implemented secure credential handling and conditional logic using Jenkins credential binding to enhance pipeline reliability and security.
• Eliminated static sleep delays by introducing dynamic wait mechanisms, improving execution efficiency and stability.
• Maintained secure GitLab feature branches for safe, collaborative development, and change isolation.
• Laid the foundation for eDelivery integration, streamlining end-to-end software distribution.

• Executed migration of 11 applications to Jenkins-based CI/CD framework, eliminating manual processes.
• Designed and implemented a CI/CD pipeline for the SanerNow application, reducing build and deployment time by approximately 65%.
• Integrated Terraform for automated infrastructure provisioning, enhancing scalability across environments.
• Managed cloud infrastructure setup with Terraform, following Infrastructure as Code best practices.
• Collaborated with cybersecurity team to ensure security and compliance in deployment environments.
• Developed Jenkins pipeline framework supporting SVN and Git branching strategies, standardizing processes.
• Refined build storage in NFS with versioning, boosting traceability and ensuring easy access to artifacts.
• Optimized performance of critical modules by analyzing extensive MongoDB logs. Identified high-latency API calls, revealing response times ranging from 45 to 60 minutes. Transformed unstructured logs into valuable insights using custom Grok patterns in ELK stack. Improved overall troubleshooting efficiency and observability across systems significantly.

• Integrated GIT, Nexus, SonarQube, and Maven artifacts with Jenkins to optimize CI/CD processes.
• Executed container-based deployments using Docker and Kubernetes for streamlined application delivery.
• Leveraged Kubernetes as runtime environment within CI/CD system for efficient application build, test, and deployment.
• Automated cloud infrastructure provisioning using Terraform for custom VPCs and EC2 instances.
• Utilized AWS services such as IAM, VPC, EC2, S3, and Auto Scaling for comprehensive cloud solutions.
• Maintained and implemented effective branching and build/release strategies utilizing GIT.
• Deployed Docker images in Kubernetes clusters through YAML configuration files for consistent environments.