SANTOSHI PRAGNYA BORRA SAI

Supporting video product infrastructure, migrating CI/CD pipelines to GitHub Actions, and enhancing automation and deployment processes. Executed proofs-of-concept (POCs) and evaluated third-party and open-source software components, identifying solutions to complex technical challenges in cloud infrastructure and automation.

• Migrating 20+ CI/CD pipelines from Jenkins to GitHub Actions , streamlining workflows and improving scalability by leveraging GitHub's native CI/CD features.
• Performed comprehensive cleanup and optimization of 50+ Jenkins pipelines/scripts prior to migration, reducing technical debt and improving resource utilization.
• Reduced pipeline execution time by 20% through optimizing build steps, consolidating redundant jobs, and improving resource allocation, ensuring a smoother transition to GitHub Actions.
• Executed 5+ Proof-of-Concepts (POCs) on Azure and AWS, successfully identifying and implementing solutions to complex cloud infrastructure problems, leading to a 15% improvement in system performance.
• Resolved recurring deployment issues in Jenkins pipelines by identifying and fixing root causes in the build scripts, improving overall system reliability.
• Streamlined release cycles through scheduler-based deployments in GitHub Actions, reducing manual intervention by 50% and ensuring timely deployments for 10+ projects.
• Installed and configured VMware servers, managing Windows and Linux virtual machines for various applications.
• Integrated Docker container orchestration framework using Kubernetes by creating pods and deployments.
• Worked on Azure Site Recovery and Azure Backup, deploying 10+ instances and migrating workloads, utilizing Log Analytics to collect and analyze data for issue resolution by 20%.
• Designed, implemented, and managed virtual networking within AWS, connected on-premises environments via AWS Direct Connect, and configured VPN Gateways, DNS, and Load Balancers.
• Deployed and operated scalable apps across AWS EC2, S3, Lambda, and RDS, ensuring 99.9% uptime and fault tolerance in the cloud.
• Automated deployments and provisioning of VMs in Azure using PowerShell scripts, reducing manual provisioning time by 40%.
• Worked with development teams to containerize applications and refactor monolithic architectures into microservices using Docker containers and Kubernetes pods, enhancing scalability and agility.
• Collaborated closely with cross-functional teams during major incident response efforts, ensuring timely resolution of critical issues affecting business operations.
• Reduced server downtime by proactively monitoring cloud resources and addressing potential issues before they escalated.

Migrated legacy cloud workloads to standardized, modern environments, leveraging Terraform and Ansible for infrastructure management. Leveraged multiregional solutions to enhance resilience and scalability, employed Azure DevOps (ADO) for CI/CD.

• Orchestrated hybrid cloud solutions by leveraging both Azure and AWS platforms, ensuring 99% uptime and seamless integration between cloud environments.
• Contributed to the development of cloud migration strategies, including lift-and-shift, re-platforming, and re-architecting approaches, to facilitate the migration of workloads to Azure and AWS.
• Utilized Terraform state management in Azure DevOps for tracking infrastructure changes, managing dependencies, and enforcing version control, ensuring 100% traceability and auditability during migration.
• Lead migration efforts to transition 10+ Citrix workloads to the new enterprise landing zone, securing uninterrupted integration and optimal performance within the updated infrastructure environment.
• Customized Kubernetes networking components, including Services, Ingress Controllers, and Network Policies.
• Automated the provisioning of 50+ EC2 instances using Terraform, Helm Charts, and CloudFormation, reducing setup time by 40%.
• Used AWS IAM policies to control access to storage resources, ensuring security compliance.
• Implemented Azure Monitor integration with Terraform, enabling automated provisioning and configuration of monitoring resources, such as alerts, metrics, and logs, within Azure infrastructure deployments by 30%.
• Developed custom scripts to automate cloud operations , enhancing operational efficiency and reducing manual errors.
• Handled 100+ tickets efficiently on ServiceNow, ensuring 98% timely resolution and adherence to SLAs.

Led Residential Life by hosting the front desk operations and coordinating with campus departments to ensure smooth operations. Aided in managing day-to-day administrative tasks and supported community engagement through event planning.

• Addressed student concerns related to housing, maintenance, and university services, resolving 90% on first contact and escalating 20+ complex cases to appropriate staff for efficient support.
• Maintained and updated residence hall databases, tracking student inquiries and service requests to ensure follow-up and monitor satisfaction, contributing to improvements in service delivery.

Assisted in teaching 'Cloud Computing I & II' by leading 15+ targeted TA sessions, developing course materials, and grading. Provided academic support and constructive feedback to promote a deeper understanding of statistical and data science concepts.

• Facilitated in designing and updating course materials, including practical labs on cloud platforms and services (AWS and Azure), and theoretical assignments, ensuring it aligned with evolving industry standards.
• Launched a peer-review system among 60 students for projects to encourage collaborative feedback, ensuring students can critique and improve each other's work on cloud application design and deployment.

Improved business processes by analyzing current practices and recommending optimization strategies. Collaborated with various teams to implement CI/CD pipelines, automate processes, and optimize cloud infrastructure.

• Utilized cloud-based analytics tools to create 15+ interactive data visualizations, reports, and dashboards, improving data accessibility by 40% for key decision-makers and aligning business strategies with insights.
• Actively engaged with business stakeholders to translate business requirements into functional, cloud-based data solutions, ensuring 90% alignment with company goals and improving the value of cloud initiatives by 30%.
• Identified key opportunities for automation in data-driven processes by leveraging tools such as AWS Lambda and Ansible, reducing manual intervention and increasing operational efficiency in cloud infrastructure management.
• Produced comprehensive project documentation, including 20+ requirement documents and user manuals, by utilizing tools like Confluence and JIRA, enhancing project clarity by 30%, and promoting knowledge sharing across teams by 25%.