Kyuyeon Kim

As a Software Engineer , I've designed and executed sophisticated automation and monitoring tools primarily for AWS RDS, with an emphasis on the Aurora database. These tools have been seamlessly deployed on AWS Elastic Kubernetes Service (EKS) using both cron jobs and deployment jobs, enabling a robust application rollout. My extensive experience with AWS EKS has revolved around deploying and efficiently managing software in the form of containerized applications, showcasing my expertise in optimizing cloud-based operations.

Transitioning to a role as Database Architect, I took the lead in optimizing our database by addressing and rectifying slow queries impacting the I/O performance. I've managed the backend database essential for processing data from incoming message APIs, ensuring data accuracy and speed at all times. By incorporating Terraform, I've elevated our AWS RDS management strategies, consistently ensuring a scalable and efficient infrastructure. My detail-oriented approach is evident in my rigorous reviews of Django model changes and configurations, which always precede actual database migrations, safeguarding data integrity. Catering to specific client needs, I've frequently exported data and tapped into the BigQuery data warehouse for essential data extraction tasks. Additionally, my commitment to data security is unwavering, evidenced by my meticulous management and monitoring of PII data across BigQuery projects.

Using Policy

Tags, I ensure strict adherence to data protection standards while also setting up comprehensive monitoring configurations to oversee data handling methods consistently.

Software Engineer @ Sendbird April 2022 - Current

• Developed and implemented automation and monitoring tools for AWS RDS, including Aurora, and deployed these solutions as cron jobs and deployment jobs on EKS.
• Worked extensively with AWS Elastic Kubernetes Service (EKS) to deploy and operate these programs as containerized applications.

Database Architecture @ Sendbird

• Analyzed and optimized slow queries impacting database I/O performance
• Managed the backend database responsible for storing data from incoming message APIs.
• Utilized Terraform for AWS RDS management, ensuring a scalable and efficient infrastructure.
• Conducted thorough reviews of Django model changes and reconfigurations before actual database migrations took place, ensuring data integrity and consistency.
• Exported data as required by clients, and when necessary, performed data extraction from BigQuery data warehouse to meet client needs.
• Manage and monitor PII data across BigQuery projects using Policy Tags to ensure compliance with data protection regulations.
• Implement monitoring configurations to maintain oversight of data handling practices.

University of North Carolina Chapelhill Chapelhill, NC

Master of Computer Science

University of North Carolina Chapelhill (GPA:3.8) Chapelhill, NC 

Bachelor of Science in Computer Science and Statisics