ramya kommineni

Over 10 years of experience as a Cloud & DevOps Engineer with strong expertise in Azure, GCP and AWS Cloud Platforms. Specialized in CI/CD automation, Infrastructure as Code, Kubernetes, and cloud-native development. Skilled in building and optimizing CI/CD pipelines with Jenkins, GitLab, and Azure DevOps. Expert in infrastructure automation using HashiCorp Terraform, CloudFormation, and ARM templates. Specialized in Vertex AI, BigQuery ML, and Dataflow for scalable ML model training, deployment, and monitoring in GCP. Expertise in containerization using Docker and orchestration using Kubernetes (EKS/GKE/AKS) in production environments. Proficient in implementing serverless architectures using AWS Lambda, GCP Cloud Functions, and Azure Functions. Built and supported real-time data pipelines using Apache Airflow, Apache Beam, Spark, Hive, and BigQuery. Migrated large-scale legacy applications to cloud-native architectures on GCP with minimal downtime. Developed robust monitoring and alerting frameworks using Stackdriver, Datadog, Prometheus, Grafana, and ELK. Strong skills in CI/CD security integration using SAST, DAST, IAM policies, MFA, encryption, and compliance enforcement. Automated provisioning and deployment using Python, Shell, Bash, YAML, JSON, and PowerShell. Experience deploying AI/ML workloads across departments with Vertex AI, GKE, DataProc, and Dataflow. Skilled in managing multi-cloud and hybrid solutions using GCP, AWS, and Azure. Background in optimizing global performance and availability using CDN platforms such as Cloudflare or Akamai. Built and managed data lakes, star schema models, and ETL pipelines using Hive, DataProc, and BigQuery. Implemented centralized logging and observability solutions using ELK Stack, Stackdriver, Splunk, and CloudWatch. Designed and enforced cloud security architectures, including IAM, VPC-SC, KMS, WAF, and network security rules. Integrated DevOps pipelines for Java, Node.js, Angular, React, .NET and Oracle apps in collaboration with dev teams. Managed AWS services like EC2, S3, RDS, Redshift, DynamoDB, IAM, Lambda, CloudFront, Route 53 and Auto Scaling. Proficient in building microservices architectures and deploying via Kubernetes clusters across environments. Experienced with config management tools such as Ansible, Chef, and Puppet for rapid environment provisioning. Engineered cross-account snapshot migrations, automated backups, and disaster recovery plans in AWS. Automated ETL and ELT jobs for real-time reporting, analytics, and clinical data ingestion using Spark and Hive. Expertise in configuring Azure services, including Cosmos DB, ADF, AKS, App Services, and Azure DevOps pipelines. Strong exposure to networking protocols and configuration, including VPC, NAT, OSPF, BGP, firewall, and DNS. Adept at supporting incident and change management using tools like Jira, ServiceNow, Rally, and Bugzilla. Implemented automated DR plans with cross-region backups in AWS and GCP. Led end-to-end cloud migration projects, including application refactoring and infrastructure re-architecture. Created secure, scalable data lakes and marts on GCP BigQuery with optimized partitioning and clustering. Automated cloud cost optimization strategies using native billing tools, custom scripts, and resource tagging. Integrated SSO with EKS clusters using federated identity providers and Ansible automation. Developed scalable API gateways and microservice communication patterns using Istio and Envoy in GKE. Administered CI/CD governance and compliance with audit logging and pipeline approval gates. Maintained runbooks and wikis for incident response and troubleshooting. Experienced in applying SRE principles such as SLAs, SLOs and Error Budgets with hands-on involvement in the full Incident Management Lifecycle to ensure platform reliability, scalability and performance. Supported hybrid environments combining on-prem servers with cloud-native apps, ensuring consistent performance. Delivered internal training sessions and onboarding workshops on DevOps best practices and cloud tooling.