Yugandhar Prathi

• Led the migration of cloud services from AWS to GCP, overseeing the entire process from POCs to deployment. • Designed and implemented CI/CD pipelines on AWS, optimizing workflows for enhanced efficiency. • Developed Terraform modules for standardized provisioning across multiple business units, improving infrastructure management. ● Optimized cloud environments by automating deployments to development, staging, and production using Terraform reducing deployment times and manual errors. ● Worked closely with the frontend team to ensure seamless integration of infrastructure and application layers, supporting the successful migration of applications from AWS to GCP. ● Deployed and managed Kubernetes clusters on GKE, ensuring efficient orchestration, scaling, and management of containerized applications, while optimizing resource utilization for high-traffic production workloads. ● Leveraged GCP services such as Cloud Pub/Sub and Cloud Functions to handle real-time messaging, asynchronous data processing, and serverless architecture, enhancing the scalability and flexibility of cloud-native applications. ● Contributed to the optimization of Dockerized applications, ensuring seamless integration into GKE clusters, and maintained application security and scalability through Google Kubernetes Engine (GKE) features like autoscaling and workload identity. ● Built and maintained CI/CD pipelines in Jenkins for containerized applications, automating the deployment process from Google Container Registry (GCR) to GKE, reducing deployment lead times and improving reliability. ● Utilized Google Cloud IAM for access management, setting up granular role-based access controls (RBAC) for secure access to resources across different GCP projects and environments. • Led the migration of cloud services from AWS to GCP, overseeing the entire process from POCs to deployment.

● Involved in design and deployment of multiple applications across the AWS ecosystem, leveraging EC2, Route53, S3, RDS, DynamoDB, VPC, SNS, SQS, IAM to enhance high-availability, fault tolerance, and auto-scaling capabilities using AWS Cloud Formation. ● Excelled in designing, deploying, and managing scalable and fault-tolerant API architectures on AWS and Google Cloud, demonstrating advanced cloud infrastructure management skills. ● Implemented IAM roles, policies, and service accounts across AWS and GCP to enforce least-privilege access and strengthen security posture ● Extensively utilized Terraform to build and manage infrastructure as code (IaC) on GCP, automating resource deployment and ensuring consistency across environments. ● Created BigQuery authorized views for row level security or exposing the data to other teams. ● Managed AWS storage solutions (EBS, S3) and database services (RDS, DynamoDB), including automating data synchronization to Glacier and executing region-to-region migrations. ● Experience in configuring VPC, Route Tables, Internet Gateway, Security Groups and CloudWatch monitoring Alerts. ● Designed AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates. ● Developed automated backup and disaster recovery (DR) strategies using AWS Backup, cross-region replication, and GCP snapshots to ensure business continuity. ● Configured CI/CD pipelines in Jenkins and GitHub Actions for multi-cloud deployments, enabling faster and more reliable release cycles. ● Optimized Kubernetes workloads with Horizontal Pod Autoscaling (HPA) and resource requests/limits, ensuring efficient utilization of compute resources. ● Experienced in building, Testing, and deploying applications by adopting DevOps tools like GIT, Ansible, Jenkins, Docker, and Kubernetes. Having good working experience in AWS with EKS by using CloudFormation.

● Create CI/CD pipelines for the deployment of services and tools to the Kubernetes cluster hosted on Bare metal. ● Coordinated with developers on GIT source control practices, establishing branching and labeling conventions to streamline version control and collaboration. ● Configured Elastic Load Balancers with EC2 Auto scaling groups. ● Optimized volumes and EC2 instances. Used IAM to create new accounts, roles, and groups. ● Install and configure ELK stack on the environment to ship logs from applications hosted on a cluster. ● Configured and automated the Azure DevOps Pipelines & Jenkins Pipelines/Build jobs for Continuous Integration and Deployments Dev to Production environments. ● Engineered data pipelines using Cloud Pub/Sub and Cloud Dataflow, facilitating seamless data ingestion into BigQuery, enhancing data analytics capabilities. ● Managed Google Cloud Storage (GCS) buckets, implementing policy management and utilizing GCS Coldline for cost-effective storage solutions and backups. ● Worked on continuous integration and continuous delivery jobs for several teams in dev and test environments using shell, Groovy. ● Worked with Cloud Load Balancing and integrated it with GKE clusters to distribute traffic efficiently across applications, ensuring high availability and low-latency performance for mission-critical services. ● Restricted user access/service accounts access over jobs on Jenkins using Assign and managing roles for security purposes in development and test environments. ● Creation of hooks on Git repositories in aiding automation of Jenkins jobs. ● Monitoring and maintaining disk space issues on nodes connected to Jenkins for dev and test environments. ● Create CI/CD pipelines for the deployment of services and tools to the Kubernetes cluster hosted on Bare metal.

● Configured Elastic Load Balancers with EC2 Auto scaling groups. ● Implemented AWS solutions using EC2, S3, RDS, EBS, Elastic Load Balancer, VPC, Auto scaling groups. ● Designed and implemented disaster recovery (DR) strategies using AWS services such as cross-region replication, Route 53 failover routing, and backup/restore with Amazon S3 and RDS snapshots. ● Implementing a Continuous Delivery framework using Jenkins and GitActions ● Using Jenkins AWS Code Deploy plug-in to deploy into AWS. ● Designed, developed, deployed the complete CI/CD on cloud and managed services on AWS. ● Worked on automating cron jobs which aid in scheduling dev, model, and prod jobs and disables the job after execution, as self-service to developers. ● Created various stacks in CloudFormation which includes services like Amazon EC2, Amazon S3, API Gateway, Amazon RDS, Amazon Elastic Load Balancing, Athena. ● Managed application migration from on-prem Hyper-V clusters to GCP Compute Engine. ● Utilized Cloud SDK and GCloud CLI for deploying web applications, managing GKE clusters, and implementing autoscaling, optimizing resource utilization based on traffic demand. ● Worked on Nutanix Acropolis-based VMs for legacy system virtualization; integrated with Azure Arc. ● Orchestrated PostgreSQL database management, ensuring data accuracy and operational efficiency through proactive security patch updates and database optimization. ● Migrated JAVA based microservice based application from on prem to GCP cloud and leveraged the infrastructure for the same. ● Ability in development and execution of shell scripts and python scripts to automate administrative tasks. ● Administered Jenkins and Bamboo tools, facilitating CI/CD processes, and significantly accelerating service development.

• Assisted in designing and automating infrastructure provisioning using Terraform, creating reusable modules for AWS and GIP services. • Supported C/CD pipeline development in Jenkins and GitHub Actions, automating build, test, and deployment workflows for containerized applications. • Deployed applications in Docker containers and managed them on Kubernetes clusters (EKS/GKE) using YAML manifests and kubectl. • Configured and managed AWS (EC2, S3, IAM, VPC, CloudWatch) and GCP (Compute Engine, Cloud SQL, IAM, VPC, GE) resources to support development and testing environments. • Implemented monitoring and logging solutions with Prometheus, Grafana, ELK, and CloudWatch, helping identify performance bottlenecks and improving system reliability. • Used Git/GitHub for version control, managing branching strategies, pull requests, and code reviews across multiple teams. • Gained experience with Linux administration and shell scripting for automation, system monitoring, and application deployment tasks. • Collaborated with senior engineers on cloud migration projects, assisting in moving workloads from on-premises environments to AWS and GCP. • Utilized Google Cloud IAM for access management, setting up granular role-based access controls (RBAC) for secure access to resources across different CP projects and environments. • Worked with Cloud Load Balancing and integrated it with GE clusters to distribute traffic efficiently across applications, ensuring high availability and low-latency performance for mission-critical services.