Bharath Reddy Italapur

• Led the deployment of optimized resource utilization, ensured high availability, and implemented fault-tolerant configurations in a reproducible manner for AWS cloud solutions using Terraform for Infrastructure as Code (IaC), ensuring consistency, scalability, and version control.
• Developed reusable Terraform scripts for streamlined cloud infrastructure.
• Created Terraform templates to deploy complete OpenSearch/ELK stack solutions using AWS services, including OpenSearch, Route 53, Secrets Manager, Security Groups, CloudWatch, EC2, IAM users and roles, access policies, Lambda functions, MWAA, and SNS.
• Migrated Airflow to MWAA, and streamlined data workflows utilizing Amazon MWAA.
• Migrated Securiti AI to AWS 2.0 and converted CloudFormation templates to Terraform, as per TIAA standards.
• Created Terraform modules for AWS Glue DataBrew for data analytics, tested and deployed in Dev, Preprod, and Prod environments, and provided documentation for teams to use as a product.
• Migrated the EDC project from AWS 1.0 to AWS 2.0, transitioning from manual console operations to Terraform templates as per TIAA standards.
• Demonstrated proficiency in Python and shell scripting for automation, Infrastructure as Code, and efficient management of cloud resources, often integrated into Terraform configurations.
• Implemented ELK stack solutions for data enhancement, creating dashboards, defining mappings, and configuring alerts.
• Collaborated with cross-functional teams to develop and enhance data analytics solutions, utilizing ELK stack capabilities for optimal insights, and managing the entire stack with Terraform.
• Developed and enforced Index State Management (ISM) and Index Lifecycle Management (ILM) policies, governing the lifecycle and storage of hot, warm, and cold data within AWS, with policy definitions codified in Terraform scripts.

Environment: AWS, Terraform, GitLab, Docker, CloudBees, Git, Shell, Python, YAML, Grafana, Airflow, ELK Stack, Linux, ServiceNow, Jira

• Utilized Azure DevOps for version control and continuous deployment to streamline the deployment of 5G data service applications.
• Designed and deployed AKS clusters and associated Azure services using Terraform, ensuring scalability, reproducibility, and efficiency.
• Deployed 5G applications as microservices with Helm charts and automated configuration management using Ansible, integrated with Rancher as the Kubernetes orchestration tool.
• Leveraged Rancher for centralized management and monitoring of Kubernetes clusters, enhancing the orchestration and lifecycle management of containerized applications.
• Integrated ELK stack and Jeager for centralized logging, monitoring, and distributed tracing, enabling effective troubleshooting and performance optimization of applications.
• Automated deployment processes and infrastructure management using shell scripting and Python, ensuring operational efficiency in a Linux-based environment.

Environment: Azure, Azure DevOps, Terraform, Kubernetes, Docker, Ansible, Git, Shell, Python, YAML, Linux, jaeger

• Conducted a comprehensive architecture analysis and presented the microservices architecture to the manager and director, highlighting the pros and cons compared to the existing on-premises architecture.
• Migrated 45 ELK stack clusters and Kafka from an on-premises setup to microservices architecture using Kubernetes, enhancing scalability, maintainability, and fault tolerance.
• Developed and implemented Helm charts to deploy ELK stack and Kafka as microservices in Kubernetes environments.
• Automated the deployment and management of Kubernetes clusters and the ELK stack microservices using Ansible, ensuring efficiency and consistency in workflows.
• Upgraded ELK stack versions sequentially from 5.6 to 6.8, and then to 7.9, ensuring smooth transitions and compatibility while enhancing performance and feature sets.
• Utilized Grafana to monitor microservices, create dashboards, and set up alerts for real-time performance tracking and incident management.
• Provided 24/7 production support, taking on various shifts to ensure continuous availability, prompt issue resolution, and minimal downtime.
• Collaborated with cross-functional teams to ensure seamless migration and deployment, addressing challenges in a fast-paced production environment.

Environment: ELK stack, Kubernetes, Docker, VSTS, Git, Ansible, , Python, Git,Prometheus, Grafana, Linux, Jira.

• Deployed ELK stack applications as microservices tailored to the specific requirements of various teams, ensuring scalable and reliable solutions.
• Automated the deployment of ELK stack microservices on Kubernetes clusters hosted on OpenStack using Ansible and Helm charts.
• Utilized Jenkins for continuous deployment (CD), streamlining workflows and ensuring seamless integration and delivery pipelines.
• Created and optimized Docker images for newer ELK stack versions, conducting rigorous testing to validate features and functionality.
• Performed rolling upgrades of ELK stack clusters, ensuring minimal downtime and smooth transitions between versions.
• Implemented Grafana for monitoring and alerting, enabling real-time tracking of microservice performance and proactive issue identification.
• Provided on-call production support as per a rotational schedule, addressing issues promptly and maintaining high service availability.
• Collaborated with multiple teams to gather requirements and deliver customized solutions aligned with organizational needs.
• Troubleshot and resolved issues in deployment pipelines and cluster management, ensuring consistent performance and operational stability.

• Deployed various AWS services based on team requests, utilizing AWS Management Console and CloudFormation templates to ensure efficient and scalable deployments.
• Created and maintained CloudFormation templates for infrastructure as code, enabling consistent, repeatable, and automated resource provisioning.
• Collaborated with cross-functional teams to understand their specific requirements and deliver tailored AWS solutions.
• Managed and monitored deployed AWS resources to ensure optimal performance, availability, and security.
• Provided technical expertise and support to teams during the deployment process, troubleshooting issues and implementing best practices.
• Documented deployment processes and configurations to streamline future provisioning and knowledge sharing across teams.