Prajwal Gowda H M

Dynamic and self-reliant Site Reliability Engineer with 3.9+ years of experience in developing and implementing automated cloud solutions. Adept at building scalable infrastructure, ensuring high availability, and reducing operational downtime through effective automation. Proven expertise in leveraging tools like Terraform, Azure DevOps, and Python to optimize cloud operations and enable infrastructure recovery. Seeking challenging opportunities to design and implement robust, automated solutions for cloud environments.

• Recognized for automating critical recovery processes, achieving zero downtime during major incidents.
• Ranked among the top 10 innovators for AI-powered compliance dashboards at Unisys.
• Delivered on-time and high-quality solutions with a 100% SLA compliance rate for 3 consecutive years.

• Azure Infrastructure Automation: Developed reusable and scalable Terraform scripts for deploying Azure resources, including end-to-end setups for the UNIGEN project and AI infrastructure for multiple environments (Finance-AI-Dev/Prod, DWSCVT-AI-Dev/Prod).
• AWS Route 53 Automation: Created Python scripts for automated zone backups and restoration for complex scenarios, ensuring data integrity and operational efficiency.
• Storage Account Automation: Automated the creation of 128 Azure storage accounts with private endpoints, completing deployments in under five minutes using a CSV-based approach.
• Azure Hybrid Benefit (AHB) Optimization: Designed Python scripts for AHB license automation, reducing costs and streamlining operations.

• End-to-End DR Automation: Delivered 10 PowerShell and Python scripts to automate disaster recovery processes, including comprehensive log collection and CMDB updates, enhancing system resilience.
• Weekly CMDB Updates: Implemented automation for scheduled updates of CMDB data based on CMP server lists, ensuring accuracy and consistency.

• AI-Powered Dashboard Enhancements: Integrated OpenAI’s Azure module to enable AI-driven features in the Patch Compliance report dashboard, allowing natural language query support for data insights.
• Vulnerability Management: Helped integrate machine learning models with Azure Kusto Query and Python scripts for generating advanced vulnerability reports.

• AWS Tag Audit Automation: Deployed Python scripts for organization-wide AWS tag compliance audits, reducing manual intervention and errors.
• SAAM Re-architecture: Enhanced the SAAM function by adding a Quest server to reduce downtime, ensuring robust service availability.
• EA Account Automation: Resolved blockers and deployed enhanced EA account creation scripts to streamline user provisioning.
• Team Collaboration and Innovation: Contributed an innovative tech idea that ranked among the top 10 out of 50 submissions, demonstrating proactive engagement in team goals.