● Proficiently read and utilize Python for developing and maintaining scripts for device configurations, databases, and monitoring/reporting tools in CI/CD pipelines.● Design and provision VPC environments using Terraform (JSON and YAML).● Leverage AWS services, including EC2, IAM, S3, EBS, Route53, ECS, VPN, and CloudFormation.● Implement SonarQube for code analysis and reporting, supporting various relational database management systems (PostgreSQL, Oracle, MSSQL).● Monitor Kubernetes clusters and logs using Prometheus and Grafana, and troubleshoot Kubernetes pods in pending states.● Collaborate with developers to deploy containers using Docker and Kubernetes.● Implement AWS security best practices, including multi-factor authentication and access key rotation.● Develop Infrastructure as Code using Terraform and CloudFormation.● Utilize AWS Config and CloudTrail for compliance and auditing.● Set up Ansible roles and playbooks for configuration management and application deployment.● Manage RedHat & CentOS Linux servers and optimize system performance.● Leverage AWS services (EC2, auto-scaling, VPC) for scalable and highly available systems.● Proficiently document Cloud solutions using Confluence.● Implement version control using Git, facilitating code tracking.● Demonstrate advanced knowledge of AWS IaaS, PaaS, SaaS offerings, Office 365, and Identity Management.● Deploy and monitor applications on various platforms, including Elastic Beanstalk.● Collaborate with technical architects and cost architects to create solution designs and cost estimates.● Execute Organizational Units, Nested OUs, and leverage SCPs and IAM Policies for governance.● Proactively monitor AWS costing and implement cost-control initiatives.

• Spearheaded the automation of routine infrastructure tasks to streamline deployment workflows and improve consistency across development, staging, and production environments.• Implemented DevOps best practices to enhance the CI/CD pipeline, enabling faster delivery cycles and improving collaboration between development and operations teams.• Monitored and optimized Kubernetes clusters to ensure efficient resource usage and reliable performance, reducing downtime and enhancing scalability for key applications.• Conducted root-cause analysis and troubleshooting for production incidents, working closely with cross-functional teams to implement preventive measures and improve system resilience.• Developed and maintained comprehensive documentation for infrastructure processes, deployment strategies, and security protocols to support team knowledge-sharing and compliance efforts.• Collaborated with architects and engineers to design scalable, high-availability solutions that align with Micron Technology's evolving business needs and technical goals.• Developed Python scripts to automate database backups, health checks, and reporting, increasing operational efficiency and ensuring 100% data recovery readiness.• Utilized SonarQube for code quality analysis across all deployments, identifying and mitigating 80+ code vulnerabilities monthly, thereby improving code quality by 30%.• Documented cloud solutions and architectural decisions in Confluence, enabling knowledge sharing and reducing onboarding time for new team members by 15%.• Configured and managed Ansible playbooks for automated configuration management across 200+ servers, minimizing manual errors and standardizing environment configurations.

• Managed AWS resources and developed CI/CD pipelines for deploying Docker containers.• Orchestrated Kubernetes deployments and monitored cluster health using Prometheus and Grafana.• Utilized k9s for Kubernetes management and created services to facilitate end-user access.• Provisioned infrastructure resources using Terraform and managed Kubernetes logs with the ELK stack.• Configured static websites on Amazon S3, leveraging Amazon CloudFront for content optimization and delivery.• Launched and configured EC2 instances, set up security groups, and used Packer to create AMIs.• Managed and optimized 200+ EC2 instances using Terraform and CloudFormation, resulting in a 30% cost reduction in infrastructure spending.• Configured and monitored 10 Kubernetes clusters across multiple regions, achieving 99.99% uptime by implementing proactive monitoring and automated scaling.• Spearheaded the migration of 15 web applications and 30 databases to AWS, reducing operational costs by 25% and minimizing migration downtime to under 1 hour.• Migrated web servers and databases to AWS EC2 and RDS with minimal downtime, ensuring seamless transitions.• Designed high-availability environments using VPCs, VPNs, and peering connections for enhanced network reliability.• Monitored CI/CD pipelines with Apache Airflow and managed containerized applications on Amazon ECS.• Monitored system performance with CloudWatch, setting up alarms for proactive system management.• Configured security groups, implemented system backups, and automated deployments with Ansible and GitHub.

• Implemented Oracle Data Pump and export/import utilities for reorganizing databases, improving performance, and facilitating cloning and migration processes.• Proactively monitored database performance using SQL Trace, TKPROF, and EXPLAIN PLAN, ensuring optimal query execution and response times.• Utilized Oracle Enterprise Manager (OEM) for comprehensive database monitoring, maintenance, replication, and performance tuning across production environments.• Configured and managed Oracle Data Guard for production databases, including physical and snapshot standby databases, ensuring high availability and disaster recovery.• Successfully upgraded databases from Oracle 10g to 11g and 12c, ensuring smooth transitions and minimal downtime.• Applied PSU, CPU, and security patches regularly to enhance database security, stability, and functionality.• Demonstrated expertise in Oracle GoldenGate implementation, administration, and configuration for real-time data integration and replication