Yeshwanth K.
Cloud Devops Engineer @Corus Entertainment
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WORK HISTORY
Cloud Devops Engineer @Corus Entertainment
Containerized and orchestrated 50+ applications with Docker and Kubernetes, minimizing inconsistencies across environments and achieving 100% deployment success rates• Enhanced system reliability using ELK, Grafana, and Prometheus, achieving a 40% decrease in unidentified system anomalies and reinforcing access controls to prevent breaches• Managed scalable microservices architecture by leveraging Kubernetes, resulting in an improvement in system resilience and a reduction in cloud resource costs through efficient container orchestration and auto-scaling• Developed scripts in Python and Bash to automate routine tasks, such as system backups, patch management, and log file analysis, increasing operational efficiency and reducing downtime• Optimized database performance and scalability using MySQL, PostgreSQL, and MongoDB, implementing indexing, query optimizations, and robust replication and backup strategies• Led the design and deployment of scalable, highly available, and fault-tolerant systems on AWS, encompassing services such as EC2, RDS, VPC, S3, IAM, and Route 53• Automated infrastructure provisioning with Terraform and CloudFormation, cutting deployment times by 50% and eliminating configuration drift, leading to faster, error-free launches• Designed and implemented scalable and secure GCP solutions, utilizing Compute Engine, Kubernetes Engine, and Cloud Storage to enhance operational efficiency and reduce costs through automation and optimized resource management• Expertly managed GCP Cloud Storage integration with GitHub Actions to synchronize team efforts and securely handle sensitive information, while automating the deployment of GCP resources like Cloud Functions and Big Query across multiple environments• Deployed containerized applications on GKE (Google Kubernetes Engine) and managed to scale with Horizontal Pod Autoscaling (HPA)
EDUCATION
University of the Cumberlands
Master's degree, Master’s in information systems security
Anna University Chennai
Bachelors in Electronics and communication
University of the Cumberlands
Master's degree, Master’s in business administration
MacEwan University
Project Management and professional communication
ABOUT YESHWANTH K.
With 6 years of IT experience and over 4 years as an AWS Cloud Engineer, specializing in optimizing application performance and reliability using AWS services like EC2, S3, and Lambda, demonstrating a deep understanding of cloud solutions• Extensive hands-on experience with a wide range of AWS services, including AWS System Manager, CloudTrail, Route 53, CloudFront, RDS, and Lambda for highly available and scalable infrastructure• Accomplished a strategic AWS cloud migration, enhancing deployment efficiency with sophisticated DevOps automation by ensuring uptime with zero data loss and proficiency in SQL and NoSQL databases (MySQL, PostgreSQL), supporting database management and optimization• Proficient in establishing secure AWS environments, skilled in employing security groups, IAM policies, and VPN configurations while collaborating with security teams to implement best practices • Skilled in containerization and orchestration with Docker and Kubernetes, having successfully containerized and deployed over 50 applications, ensuring uptime, version control, and CI/CD processes using Git, Jenkins, and GitHub Actions, with a track record of reducing deployment time• Experienced as an administrator of Linux (including Ubuntu and Amazon Linux) and Windows environments, scripting in Bash, Python, and PowerShell to automate tasks and enhance operational efficiency• Adept in setting up monitoring and alerting systems, as well as log management and analysis tools, for proactive issue detection and troubleshooting, including AWS CloudWatch and CloudTrail • Hands-on experience in continuous improvement and automation, employing skills in GitLab, Jenkins, Maven, and Tomcat to streamline software delivery and deployment processes• Skilled in deploying Google Cloud Platform\'s cloud storage and monitoring solutions to ensure secure, efficient hybrid cloud operations and optimize network performance• Specialized in adopting monitoring tools like Datadog, Prometheus, Zabbix, and Grafana, container management via Openshift, stream processing facilitated by Kafka, and log analysis with the ELK stack• Efficient in creating scalable and highly reliable system architectures, leading to a significant reduction in critical incident response times, implementing robust monitoring solutions, and automation tools to ensure high uptime, thereby optimizing system performance and enhancing the user experience
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