Ungi Kim

Experienced in big data processing with strong debugging skills, backend development, and startup developer.
Leverages comprehensive technical expertise for software engineering and data management.
I am interested in machine learning and open-source projects.

Experience

Data Engineer
Balance Hero Feb 2017 - Present
India-based South Korean fin-tech startup

Designed and implemented the whole Big data pipeline with batch processing

Worked with AWS and its different components

Developed Spark code in Python using Spark SQL & Data Frames for aggregation that easily used by analyst and developer

Designed and implemented the KDS consumer

Built a Apache Zeppelin Interpreter for Amazon Athena

Written queries to transform data for further downstream processing

Involved in the end to end development process

Software Engineer
Balance Hero May 2016 – Feb 2017
Developing True Balance

Designed and implemented the event based promotion service

Designed and implemented the user service

Worked with AWS to reduce infra management

Intern
Netmarble Games Dec 2015 – Feb 2016
Internship as part of the Netmarble recruitment 2015

Developed multiplay mahjong game

Software Engineer
Saerom C&C April 2010 – Feb 2013
Worked as a substitute of mandatory military service.

Developed a web server framework adapting the MVC pattern by PHP5

Maintained web sites overseas e-commerce service GEOPASS and eBay Auction

Skills

Programming Languages
  • Python
  • SQL
  • Java
  • Scala
Back-end Technologies
  • Apache Spark
  • Spring Framework
Databases or Cache Storage
  • MySQL
  • InfluxDB
  • Redshift
  • Redis
DevOps
  • AWS
  • Docker
  • Linux
  • Jenkins
Tools
  • Git
  • IntelliJ
  • VS Code
Human Languages
  • Korean(native)
  • Japanese(fluent)
  • English(pre-intermediate)

Education

Bachelor’s degree
The Catholic University of Korea Mar 2009 - Feb 2016
Computer Engineering

Contact

E-mail
ungi@ungikim.me
Github
https://github.com/ungikim
LinkedIn
https://www.linkedin.com/in/ungikim
Phone
+82-10-9922-1318

Archives

2018년 회고

2018년도 끝이 왔다.

데이터 처리의 단순화

데이터야놀자 2018 발표

Spark 의 Global Temporary View

데이터 사이즈 불균형으로 인한 ...

2017년 회고

어느새 2017년 마지막이 되어...

Spark 에서 S3 데이터 삽질기

AWS V4 API만 제공되는 ...

iPhone 7

어쩌다보니 한국 발매 이전에 아...

Android Internals

액티비티가 어떻게 구동되는지 알...

Android Wi-Fi State Machine

연구실 주제로 필요에 의해서 안...

주변의 AP를 찾는 방법

Wi-Fi 장비의 Scan 에 ...