Ravi T. Email and Phone Number

●Deployed containerized applications on Azure Kubernetes Service (AKS) using Helm charts, ensuring high availability and scalability to meet production demands across multiple services.●Implemented zero-downtime deployments leveraging Kubernetes rolling updates and Helm chart rollback strategies, facilitating smooth application updates and minimizing disruptions.●Designed and deployed container orchestration solutions with Docker, Kubernetes, and Rancher, optimizing microservices management and streamlining continuous deployment workflows.●Automated infrastructure provisioning for microservices-based applications using Terraform to manage Azure resources, reducing manual errors and speeding up deployment cycles.●Integrated Azure DevOps to build and deploy containerized applications, incorporating pipelines for testing, integration, and automated production releases.●Developed Terraform scripts for provisioning Azure resources, such as Azure App Services, Azure Storage, and Azure Front Door, ensuring high-performance cloud environments tailored to business needs.●Managed and optimized MongoDB clusters on MongoDB Atlas across Azure environments, improving performance and scalability to handle large data workloads while maintaining 99.99% uptime.●Worked with developers to define and implement indexing strategies for MongoDB, improving query performance for both OLTP and OLAP workloads.●Developed Python automation scripts to monitor and handle MongoDB backups, ensuring automated recovery testing for disaster recovery preparedness.●Integrated CI/CD pipelines into the MongoDB schema migration process, automating version-controlled deployments to reduce manual overhead and improve deployment consistency.

My experience encompasses a range of cloud technologies, including Kubernetes, Azure, and AWS. In Kubernetes, I deployed and managed Docker containers across multiple clusters and namespaces, ensuring high availability and scalability. Istio was integrated to improve microservices observability and security. Custom Kubernetes Operators streamlined complex tasks, and Terraform automated infrastructure processes, using modules and workspaces to maintain consistency across environments.In Azure, I utilized a variety of tools to maintain operations and security. Azure Monitor, Prometheus, and Grafana provided comprehensive monitoring, allowing proactive response to infrastructure issues. Azure App Service enabled scalable application hosting, while Azure Virtual Networks (VNets) and ExpressRoute ensured secure and high-speed connections. CI/CD pipelines were implemented with Azure DevOps, and Jenkins was integrated with plugins like Docker, JIRA, and Git. For security, I used OAuth 2.0 for API security and conducted regular security assessments with OWASP ZAP and Burp Suite.In AWS, I set up EC2 instances and created AWS RDS Aurora DB clusters for reliable database management. I leveraged AWS CloudFormation to deploy customized VPCs and established site-to-site VPN connections for secure communication. AWS CloudWatch and CloudTrail were used for monitoring and logging, with Amazon Route 53 providing reliable DNS management. Jenkins automated CI/CD pipelines, enabling smooth deployment workflows. Collaboration tools like JIRA for issue tracking and Confluence for documentation facilitated effective teamwork and project management. Overall, my experience is rooted in automation, security, and efficient cloud infrastructure management.I specialize in cloud infrastructure, focusing on automation, security, and scalability. I deploy and manage cloud services in AWS and Azure using Kubernetes, Terraform, Salesforce and Jenkins to ensure reliable, compliant operations.

- Orchestrated end-to-end DevOps processes within Azure cloud environment.- Leveraged Azure DevOps Services for centralized version control, build automation, and release management.- Implemented Git-based version control using Azure Repos, fostering efficient code collaboration.- Automated CI/CD pipelines with Azure Pipelines, accelerating development workflows and release cycles.- Embraced IaC principles with ARM Templates for consistent and repeatable Azure resource deployment.- Complemented ARM Templates with Terraform for multi-cloud support in resource provisioning.- Managed containerized applications efficiently with Azure Kubernetes Service (AKS) for orchestration.- Secured and managed container images with Azure Container Registry, ensuring reliable deployment.- Safeguarded sensitive information with Azure Key Vault, enhancing data protection.- Utilized Azure Automation for cloud-based automation services, optimizing workflows.- Monitored system behavior proactively with Azure Monitor and Log Analytics for issue resolution.- Streamlined on-demand development and testing environments using Azure DevTest Labs.- Employed Azure DevOps Repositories for code collaboration and version control.- Managed package dependencies effectively with Azure DevOps Artifacts.- Integrated comprehensive testing strategies with Azure DevOps Test Plans for thorough coverage.- Executed command-line tasks with Azure CLI and enhanced automation with PowerShell.- Automated routine tasks, deployments, and configurations for improved operational efficiency.- Integrated security checks into CI/CD pipelines, adhering to DevSecOps principles.- Facilitated work tracking and collaboration using Azure Boards for effective communication.- Contributed to a data-driven DevOps culture using Splunk and Grafana for insightful analysis.- Regularly updated tools and services for optimal performance and reliability.

- Building and maintaining a Docker container cluster managed by Kubernetes on AWS, using Linux, Bash, GIT, and Docker. - Managed Kubernetes charts with Helm, enabling reproducible builds of Kubernetes applications, providing configuration parameters for deployment customization, and overseeing release of Helm packages.- Implemented a CI/CD pipeline with Jenkins, GitHub, Nexus, Maven, and AWS AMI Delivered Solutions to improve Cloud architecture, deployment for AWS Private and Public Cloud. - Created S3 buckets and managed policies for S3 buckets and Utilized S3 bucket and Glacier for storage and backup on AWS. - Configured and managed many resources in AWS like EC2, VPC, S3, Route53, SNS, IAM, CloudWatch, CloudFront, Code Build, Elastic IP’s, EBS, CloudFormation. Load Balancers. - Experience with AWS cloud services related to data, such as RDS, Athena, Glue, and EMR, which contribute to an effective ETL process.- Configured Elasticache for Redis to optimize performance, utilizing AWS S3 buckets and Glacier for storage and backup. - Edited Elasticsearch config files and YML files to meet the company requirements.- Created automated pipelines in AWS Code Pipeline to deploy Docker containers in AWS ECS using services like CloudFormation, Code Build, Code Deploy and S3. - Managed multiple CI/CD accounts with multiple VPC for both production and non-prod where primary objectives included automation, build out, integration and cost control. - Have experience in writing workflows and creating CI/CD processes using GitHub Actions.- Designed EC2 instance architecture to meet high availability application architecture and security parameters. - Streamlined the deployment process for e-commerce applications, reducing downtime by implementing blue-green deployments and canary releases in Kubernetes clusters, ensuring a seamless shopping experience for customers during new feature rollouts.- Integrated JIRA with GIT to help the change management process run.

- Led Build & Release processes utilizing Subversion, implementing robust branching and merging strategies for efficient version control.- Orchestrated deployments on Red Hat Enterprise Linux and CentOS, employing automation scripts for seamless package and patch management.- Established comprehensive documentation on internal Wikis, ensuring accurate representation of release processes and policies.- Excelled in shell scripting for CRON job scheduling, contributing to streamlined operations on Linux and Windows servers.- Provided 24/7 client support, resolving issues promptly and offering valuable guidance on application server-related challenges.- Developed an application with Servlets, JSP, Apache Ant, and Linux BASH scripts, automating build and deployment processes across environments.- Implemented real-time monitoring using BASH shell scripts on Red Hat Enterprise Linux, enhancing the visibility of application server JVMs.- Leveraged SVN for version control in .Net application development, incorporating client-side validations and optimizing server performance through shell scripts.- Meticulously prepared installation and troubleshooting manuals, emphasizing a commitment to comprehensive documentation.- Deployed virtual machines from templates and configured applications, showcasing proficiency in virtualization technologies.- Configured and administered essential services including NFS, DNS, OpenLDAP, DHCP, Apache HTTP, and Tomcat in heterogeneous environments.- Demonstrated versatility in diverse toolsets, ensuring optimal performance and reliability of systems under my purview.- Spearheaded automation efforts, contributing to a holistic approach to DevOps for an efficient and reliable infrastructure.- Proactively identified areas for improvement, embracing a continuous learning mindset and staying abreast of industry trends.

As a Python Developer Intern, I'm passionate about leveraging Python programming skills to contribute to innovative projects and gain valuable hands-on experience in software development. Currently honing my expertise in Python coding, testing, and debugging, I collaborate with experienced professionals to build robust applications and solutions. Eager to learn and grow in a dynamic environment, I actively seek opportunities to expand my knowledge of Python libraries and frameworks while making meaningful contributions to impactful projects.