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  • Ewha Womans University, Majoring in Computer Science
  • Seoul, South Korea
  • 22:34 (UTC +09:00)

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@BOAZ-bigdata @AIM-AWS-study @Back-to-the-Eng

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doyoom/README.md

Hi there ๐Ÿ‘‹

I'm Doyoon Kim, a Cloud & Infrastructure Engineer focused on building reliable systems in distributed and production environments.

I enjoy understanding how systems behave under real conditions โ€” not just making them work, but making them scalable, resilient, and operationally reliable.

I care about scalability, reliability, and real operational impact.

About Me ๐Ÿ’ก

โ–ถ๏ธ Fast learner who enjoys exploring unfamiliar technologies and adapting quickly

โ–ถ๏ธ Comfortable collaborating in English within global and multicultural environments

โ–ถ๏ธ Prefer building stable and maintainable infrastructure over short-term fixes

โ–ถ๏ธ Curious about how real systems behave in production environments

๐ŸŽ“ Background

  • B.S. in Computer Science & Engineering, Ewha Womans University
  • BOAZ Big Data Club โ€” Data Engineering Division, Research Team Lead

๐Ÿš€ Currently Building & Exploring

  • Kubernetes-based distributed systems
  • Terraform infrastructure automation
  • Event-driven streaming architectures
  • Observability and reliability engineering

๐Ÿ— Projects

Kafkaโ€“Spark streaming pipeline deployed on Kubernetes (EKS).
Designed operator-based architecture and validated broker fault & ISR scenarios.
Added GitHub Actions CI/CD for automated testing and deployment.

Built modular VPC architecture with Terraform and optimized networking using NAT Gateway restructuring and VPC Endpoints.
Designed EKS-ready infrastructure for scalable container workloads.

Implemented domain-separated API structure with JWT authentication and standardized response format.
Focused on clean architecture and maintainable backend design.

๐Ÿ›  Tech

My Skills

๐Ÿ“ฌ Contact

Gmail LinkedIn Velog

Pinned Loading

  1. K8s K8s Public

    Forked from Back-to-the-Eng/K8s

    EKS ๊ธฐ๋ฐ˜ ์‹ค์‹œ๊ฐ„ ํŒŒ์ดํ”„๋ผ์ธ K8s ์ธํ”„๋ผ ๊ตฌ์ถ• (Spark Operator, Strimzi Kafka, MinIO, ClickHouse ๋ฐฐํฌ ๋ฐ ์šด์˜)

    Shell

  2. aws-study aws-study Public

    Forked from AIM-AWS-study/aws-study

    HCL