Build the products flowing pipelines from feeding to searching at NAVER Shopping.

• Mainly use Spring Framework, but also properly use others like Scala, Python, Bash and so on.
• Flow data through Kafka.
• Use Hadoop, Hive and Spark to aggregate product information.
• Index products in Oracle, Postgresql, MySQL and Elasticsearch.
• Deploy & run applications on Kubernetes. Also enjoying solve algorithms on Leetcode, Baekjoon, etc.

Check my more info below:

• Github: https://github.com/occidere
• Blog: https://blog.naver.com/occidere
• Stackoverflow: https://stackoverflow.com/users/7110084/occidere
• Leetcode: https://leetcode.com/occidere/
• Baekjoon: https://www.acmicpc.net/user/occidere

Also, check my posts, presentations and contributions below:

1. Build monitioring system using Elastic Stack + Lambda
   • Written on D2 (Naver tech blog)
   • https://d2.naver.com/helloworld/9878588
2. Configure Kubernetes pods autoscaling by detecting Kafka comsumer lag
   • Presented in NAVER Engineering Day 2019
   • https://blog.naver.com/occidere/221758990374
3. Elastic Bronze Contributor 2021
   • https://www.credential.net/557b8611-e161-4a5b-92bb-6b7ea5a0af7d