● Led a team of 7 engineers in automating AWS infrastructure with CloudFormation templates, reducing deployment time by 30% across environments● Increased system availability, performance, and security by implementing and managing system patching and upgrades● Optimized Docker Compose configurations to improve deployment, performance, and scalability of FDA application containers● Created CloudWatch monitors, alarms, and notifications to enable real-time awareness of performance issues● Automated CI/CD pipelines using GitLab, reducing deployment time by 30% and enhancing efficiency for multiple dev teams across the FDA● Implemented an automated bootstrapping Bash script for EC2 instances to manage and apply Linux operating system updates, ensuring seamless and continuous system maintenance

● Reduced mean time to detection (MTTD) by 40% by configuring Datadog agents across various AWS services(EC2, RDS, S3, Lambda) to monitor metrics such as CPU utilization, disk I/O, and network throughput● Designed query-based Datadog dashboards to visualize request rates, response times, and error rates,improving application response times by 25%● Set up CloudWatch alarms and Datadog monitors for historical analysis of CPU throttling and memory leaks, enhancing infrastructure reliability and cutting mean time to recovery (MTTR) by 35%● Streamlined incident responses by automating alerts in Datadog with a custom hook for immediatenotifications on application anomalies

● Automated build and deployment with Jenkins, reducing human error and improving production processes by 50%● Built Python Lambda functions to securely ingest and store proprietary data in RDS, ensuring protection and scalability● Transitioned monolithic applications to microservices by building and deploying 20+ custom Dockercontainers and published to internal image registry● Created and managed IAM roles for secure access to critical enterprise cloud resources● Cut CI/CD deployment time by automating instance management through the AWS CDK

• Work in a team of 30 in order to manage incoming help desk requests• Complete an average of 450 tickets per month with an average satisfaction rating of 4.2 stars• Troubleshoot technical issues, corroborate with knowledge base, and resolve issues.