Supriya M Email and Phone Number

Azure DevOps Engineer | Cloud Infrastructure and DevOps AutomationProject Overview:Demonstrated expertise in Azure Platform Development and Deployment, orchestrating cloud services, infrastructure automation, and continuous integration/continuous deployment (CI/CD) processes.Key Contributions:Engineered Azure Resource Manager Templates (ARM) for server installations, emphasizing Infrastructure as Code (IaC) principles.Implemented Azure VPN configurations, virtual networks, and security measures, including endpoint security and firewalls.Led the migration of on-premises SQL servers to Azure SQL databases, ensuring seamless performance and monitoring.Orchestrated Middleware automation, release management, and continuous integration/deployment as a DevOps engineer.Deployed and optimized Java web applications through Azure DevOps, utilizing Repos, Test Plans, and App Service.Created reusable Terraform modules for automating Azure IaaS virtual machines and deploying scale sets across environments.Utilized Terraform for Infrastructure as Code (IaC), executing designs and automating resource creation in Azure.Deployed managed Kubernetes clusters using Azure Kubernetes Service (AKS), enhancing scalability and containerized applications.Implemented continuous integration with Azure DevOps (AZDO) and configured plugins for GitHub, Maven, SonarQube, and Nexus.Configured Virtual Network (VNET) peering and Network Security Groups (NSGs) for effective traffic filtering.Configured private endpoints for Azure Cosmos DB using Azure Private Link, ensuring secure data access.Architected end-to-end Extract, Transform, Load (ETL) pipelines in Azure Data Factory (ADF), leveraging Spark and Apache NiFi.Optimized Apache NiFi data workflows, achieving a 15% reduction in overall execution time.

Azure Cloud Engineer | DevOps and Infrastructure AutomationProject Overview:Demonstrated proficiency as an Azure Cloud Engineer, leading initiatives to implement Azure Active Directory, optimize high-availability application environments, and streamline CI/CD processes with Azure DevOps and Kubernetes.Key Contributions:Navigating the Azure cloud landscape, my journey as an Azure Cloud Engineer has been a narrative of innovation and efficiency. Orchestrating a resilient application environment, I leveraged Azure CDN, Traffic Manager, and App Services across diverse regions. Security took center stage with the implementation of Azure Active Directory, fortifying defenses through Role-Based Access Control (RBAC).A pivotal shift occurred with the migration from on-premises SQL Server to Azure SQL Database, enhancing both performance and Azure's dynamic ecosystem exploration. DevOps principles became integral, and Ansible played a key role in automating tasks, from middleware to release management.Azure DevOps emerged as the heartbeat of CI/CD processes, offering a seamless journey from Repos for collaboration to Test Plans for rigorous testing. Infrastructure as Code found expression through Terraform, streamlining secure and collaborative management.Monitoring became a symphony with Prometheus and Grafana, providing visual insights into system health. Integrating Spinnaker with Azure Kubernetes Service (AKS) and Azure Container Registry (ACR) charted a course through containerized deployment challenges.Jenkins, the trusted conductor, orchestrated continuous integration, while Python and PowerShell scripts scripted efficiency tales in automation—from Windows patching to resource tagging. Each step was a conscious effort toward continuous improvement.As an Azure Cloud Engineer, my role transcends resource management; it sculpts an ecosystem thriving on efficiency, security, and innovation.

Cloud Engineer | Azure Migration, DevOps, Infrastructure AutomationProject Overview:Led the migration from on-premises to Azure, establishing a robust disaster recovery environment, optimizing infrastructure through PowerShell scripts. Proficiently administered IAAS and PAAS, resolved Azure VM issues, and implemented high-availability solutions.Key Contributions:Orchestrated seamless on-prem to Azure migration, implementing disaster recovery, recovery vault, Azure backups using PowerShell scripts.Administered IAAS/PAAS, resolving Azure VM issues, setting up Virtual Appliances for security compliance, and implementing high availability.Utilized Datadog's APM for efficient performance analysis, troubleshooting, and optimizing the application stack.Designed, configured, deployed solutions on Azure using ARM Templates, Azure PowerShell Module, and Azure CLI, focusing on high availability.Automated Azure processes through Runbooks, migrating scripts, configuring, and scheduling tasks.Designed AWS Cloud Formation templates for VPCs, subnets, NAT, ensuring successful web app and DB template deployment.Migrated in-house DB to AWS RDS, implemented High Availability clustering.Configured/integrated Docker orchestration frameworks - Kubernetes, Docker Swarm Cluster, optimizing failover downtime.Utilized Terraform for infrastructure setup in PCF, Azure, creating reproducible builds, version control.Implemented Jenkins pipeline jobs for Azure Infrastructure creation, using GitHub repositories with Terraform code.Hands-on Ansible and Ansible Tower for configuration, automation, managing multiple nodes.Used Ansible Galaxy for reusable modules, integrated Ansible with Jenkins for CI, configured Jenkins on Kubernetes.Managed artifacts using Nexus, JFrog Artifactory, wrote Jenkins Pipeline scripts for continuous integration, end-to-end automation.Extensively worked on Jenkins for CI/CD, using Jenkins API for server state queries, configuration changes.

DevOps Engineer | AWS Cloud Infrastructure, Automation, CI/CDProject Overview:Led end-to-end automation of highly available and fault-tolerant systems on AWS. Specialized in designing scalable solutions, migrating data to AWS Redshift, managing VPCs, and optimizing infrastructure costs.Key Contributions:Designed fault-tolerant systems with AWS EC2 instances, Auto Scaling, Elastic Load Balancing, and AMIs.Implemented IAM roles, groups, and MFA for secure user/resource management.Migrated business from a physical data center to AWS, optimizing volumes and EC2 instances.Managed multiple AWS accounts/VPCs, focusing on automation, integration, and cost control.Utilized Terraform for creating VPCs, ELBs, Security groups, SQS queues, and S3 buckets.Implemented Terraform modules for automatic creation of AWS infrastructure components.Worked with Jenkins, AWS Lambda, and S3 for end-to-end CI/CD pipelines.Configured Jenkins to trigger AWS Lambda functions on Jenkins build events.Built CI/CD pipelines in Jenkins for code compilation, testing, artifact storage, and deployment.Created Docker images, managed containers, and integrated Docker with Jenkins for automated deployment.Developed microservices using Python and Jenkins, deployed services on Kubernetes.Implemented configuration management with Chef and Puppet for infrastructure automation.Used AWS CLI for GitHub application deployments and worked with GIT hooks.

DevOps Engineer | Jenkins, CI/CD, Ansible, AutomationProject Overview:Led Jenkins CI server setup and automation for seamless application packaging and deployments. Implemented CI/CD pipelines, wrote Ansible playbooks for configuration management, and enhanced system security.Key Contributions:Administered Jenkins CI server, integrating Git, Maven, Chef, JIRA, and Email servers.Automated CI/CD workflows using Jenkins, build-pipeline-plugin, Maven, and GIT.Developed Python and shell scripts for CI/CD, optimizing data retrieval and application security.Implemented Ansible for automation, deploying critical applications and managing changes.Wrote Ansible playbooks for middleware binary installation and configuration tasks.Conducted refactoring of Ansible codebase, ensuring efficiency and reliability.Utilized Ansible Tower for automating tasks and securing sensitive data with Ansible Vault.Performed Kickstart for CentOS server automation, creating bash scripts for multi-account setup.Conducted testing and troubleshooting for MongoDB and Cassandra NoSQL databases.