Prateek Shetti

Worked on cloud regions as part of geo region expansions.
Utilized Azure Capacity Infrastructure Service Tool to complete network service provider tasks.
Focused on provisioning network resources within Azure.
Worked on automating manual tasks to improve efficiency and reduce errors.
Handling On Calls for Incident managements.
Key tools are Azure Service Fabric, Microservices and containers, Azure Capacity Infrastructure Service Tool, Automation

• Building and managing cloud infrastructure on the public AWS Cloud using Terraform and GitLab CI/CD, among other tools, for the Cisco AI Analytics Cloud platform
• Managing, patching, and upgrading large production Kubernetes clusters running in multiple AWS regions
• Managing, patching, upgrading, troubleshooting BigData Hadoop EMR Spark clusters in multiple AWS regions, running big data and machine learning (ML) workloads
• Experienced in leveraging Hive, Hadoop, Spark, and Apache Airflow within AWS EMR to orchestrate and automate complex data pipelines, driving efficiency and insights across the data lifecycle
• Managing, upgrading, backing up, and troubleshooting PostgreSQL RDS across multiple AWS regions
• Collaborating with development and QA teams on new release updates, strategizing to deploy code changes to the Staging and Production environments in a timely manner
• Deploying end-to-end infrastructure in the cloud for Staging and Production environments on AWS
• Developed custom Python scripts to automate the calculation of internal Kubernetes certificate expirations and other certificate expirations, as well as to streamline environment setup within GitLab CI/CD pipelines, thereby enhancing the development team's productivity
• Developed a Python script using Boto3 for managing AWS resources such as EC2, RDS, ECR, EKS, EMR and Kubernetes, among others
• Ansible is used to automate various tasks, such as provisioning, configuration management, deployment, and orchestration on the AWS cloud and OpenStack cloud
• Setting up alerts as part of the observability stack using the Datadog monitoring tool and Terraform for both Development and Production environments, and sending alerts to Webex channels
• Handling Apache Airflow Components in conjunction with AWS Elastic MapReduce to orchestrate and manage data workflow
• Handling Airflow DAGs for the real customers in Airflow workflow management platform

• Implemented OpenStack on OpenStack (Triple-O) with Open-Source OpenStack, where given solution on bare-metal servers and manage cloud for a major government organization and a Data Center & Dedicated Web Hosting Company
• Ansible is used to configure and manage the software components and major services running on the OpenStack cloud
• Hands on experience on setting up Kubernetes Cluster on AWS Cloud
• Experience on OpenStack private cloud design and deployments