Hemanth Yadav G

DevOps and CI/CD Expertise Kubernetes and Container Orchestration Monitoring and Logging Solutions Offline Environment Configurations Python Automation and Data Processing Infrastructure Setup and Configuration Testing and Quality Assurance RBAC and Security Implementations Other Highlights

• Designed and implemented CI/CD pipelines using GitHub, Jenkins, SonarQube, and JFrog Artifactory, ensuring seamless integration and deployment processes.
• Configured npm audit, Jest, and JUnit within pipelines to enhance automated testing for code quality, security, and functionality.
• Migrated CI/CD pipelines from cloud environments to isolated RHEL servers, configuring tools like Gradle, Node.js, and npm for offline builds.
• Deployed and managed applications within Kubernetes clusters, ensuring optimal performance, scalability, and resource utilization.
• Worked with Tanzu Kubernetes Grid Service (TKGS) for advanced cluster management.
• Integrated Istio and Kiali to manage microservices traffic, enhance observability, and provide secure and efficient communication between services.
• Implemented Prometheus for metrics collection and Grafana for advanced data visualization and dashboard creation.
• Set up the ELK stack (Elasticsearch, Logstash, Kibana) with Filebeat and Logstash for centralized logging, log aggregation, and processing, improving system monitoring and debugging efficiency.
• Configured Grafana Loki alongside dashboards for real-time application performance monitoring.
• Configured tools and applications for non-internet environments, including npm, Docker, JFrog Artifactory, and Gradle.
• Transferred npm packages and Docker images manually using tar files, maintaining system integrity in restricted setups.
• Managed Android SDK installations locally, enabling successful React Native builds and E2E testing with Detox in offline setups.
• Developed Python scripts leveraging NumPy and pandas for automating data processing tasks within Jenkins pipelines, optimizing workflows and reducing manual effort.
• Automated the creation of dashboards to visualize data from APIs, streamlining decision-making processes.
• Deployed GitHub Enterprise in offline mode using vSphere and OVA files, configuring it for enterprise-grade development environments.
• Set up Kong Gateway and its RBAC system for secure API management in non-internet environments.
• Configured Apache Tomcat Server and Gradle for building Java and React Native projects with optimized build scripts.
• Enabled end-to-end testing for React Native applications using Detox, ensuring reliable app performance across platforms.
• Configured static code analysis tools like SonarQube and ESLint, enhancing code quality and security.
• Created and managed users, roles, and user groups across tools like SonarQube, Jenkins, JFrog Artifactory, and Kong Gateway, ensuring strict access control and compliance.
• Troubleshot and resolved authentication issues, particularly with API gateways and other security-sensitive systems.
• Integrated monitoring tools like Grafana Faro into applications for enhanced observability.
• Successfully transitioned Jenkins pipelines from AWS to RHEL environments, optimizing configurations for non-internet setups.
• Actively documented "Lessons Learned" during pipeline transitions and tool configurations for knowledge sharing.

• Extensive Linux background, enhancing troubleshooting, and system management capabilities.
• Experienced in Kubernetes CD deployments, adept at strategies like rollout, canary, and blue-green.
• Developed and automated various Python scripts to streamline tasks and improve efficiency in multiple projects.
• Created a comprehensive dashboard from scratch, pulling detailed information from APIs to present real-time data insights.
• Implemented robust error handling and logging mechanisms in Python scripts to ensure reliability and ease of maintenance.
• Utilized Python libraries such as Pandas and NumPy for data analysis and visualization.
• Created real-time dashboards using Python, fetching and displaying data through APIs to provide up-to-date information.
• Collaborated on Kubernetes pipeline deployments, optimizing the software development, and Deployment process, ensuring scalability, and enhancing system reliability.
• Build a project focused on API data retrieval, developing both front-end and back-end components.
• Resulting in a streamlined data aggregation process transformed the project into a user-friendly dashboard, enabling efficient data visualization, and enhancing user accessibility.
• Building automation for day-to-day tasks using Python.
• Customer experience for troubleshooting issues across all fields in DevOps and managing different.
• Tools for the complete CI/CD process; I also engaged in day-to-day interactions with customers. These Interactions involved addressing the issues they faced with the product, and conducting effective triage to resolve the challenges promptly.

I am an experienced professional with a strong background in Governance and Toolchain

management. I have successfully managed various products and platforms such as AWS, Sonar,

GitHub, GitHub Actions, Harness, Delegates, Fossa, CCM, Jenkins, and Opsgenie for end-to-end

CI/CD processes. My focus has been on driving automation initiatives to create self-service

capabilities, improve security and compliance, and reduce costs.

● Prioritized stories, tasks, and refinement for deliverables in the current sprint and future sprints.

● Managed access privileges to tools and infrastructure.

● Promoted good practices and standards regarding cloud usage, patterns, and practices.

● Completed committed sprint work and requests, including peer reviews and documentation.

● Provided support for toolchain upgrades, build issues by offering logs, access, and necessary tools for

triaging.

● Developed Python scripts for automating Jenkins operations, including monitoring Jenkins status and

triggering automated actions if Jenkins is not running which was deployed in lambda.

● Used Terraform and Cloudformation to set up and manage basic AWS resources like S3 buckets,

Lambda functions, and EKS clusters, ensuring consistent deployments.