Personal Information
Organization / Workplace
Korea Korea, South
Occupation
Software Engineer & Architect
Industry
Technology / Software / Internet
About
- 13 years of software development experience
- 8 years of data engineer experience
- 4+ years of software development in personalized recommendation algorithms and real-time data processing
- 3+ years of software development in search server and crawler
- Extremely proficient at building real-time ETL data pipeline
- Extremely proficient at processing big data with Hadoop, Storm, Kafka, HBase and Spark
- Extremely proficient at developing API server
- Proficient at developing personalized recommendation algorithms
- Heavy use of Hadoop, HBase, Mahout, Kafka, Storm, Solr and Spark to build dataset
- Highly experienced in Python, Java programming languages and Linux, MySQL environment
Likes
(46)Amazon EMR Deep Dive & Best Practices
Amazon Web Services
•
7 years ago
자습해도 모르겠던 딥러닝, 머리속에 인스톨 시켜드립니다.
Yongho Ha
•
6 years ago
머신러닝 해외 취업 준비: 닳고 닳은 이력서와 고통스러웠던 면접을 돌아보며 SNU 2018
Taehoon Kim
•
5 years ago
File Format Benchmark - Avro, JSON, ORC & Parquet
DataWorks Summit/Hadoop Summit
•
7 years ago
Amazon Cognito를 활용한 모바일 인증 및 보안, 자원 접근 제어 기법 - AWS Summit Seoul 2017
Amazon Web Services Korea
•
6 years ago
AWS Lambda와 API Gateway를 통한 Serverless Architecture 특집 (윤석찬)
Amazon Web Services Korea
•
7 years ago
Spark and S3 with Ryan Blue
Databricks
•
6 years ago
딥러닝프레임워크비교
Junyi Song
•
6 years ago
Spark machine learning & deep learning
hoondong kim
•
7 years ago
Recommender Engines
Thomas Hess
•
14 years ago
Presto, Zeppelin을 이용한 초간단 BI 구축 사례
Hyoungjun Kim
•
7 years ago
Linux Systems Performance 2016
Brendan Gregg
•
7 years ago
Everyday I'm Shuffling - Tips for Writing Better Spark Programs, Strata San Jose 2015
Databricks
•
9 years ago
Top 5 Mistakes to Avoid When Writing Apache Spark Applications
Cloudera, Inc.
•
8 years ago
Building a modern Application with DataFrames
Spark Summit
•
8 years ago
Large-Scale Machine Learning with Apache Spark
DB Tsai
•
9 years ago
NDC 2016 김정주 - 기계학습을 활용한 게임어뷰징 검출
정주 김
•
7 years ago
From DataFrames to Tungsten: A Peek into Spark's Future @ Spark Summit San Francisco 2015
Databricks
•
8 years ago
2016 Spark Summit East Keynote: Matei Zaharia
Databricks
•
8 years ago
Spark Meetup @ Netflix, 05/19/2015
Yves Raimond
•
8 years ago
GraphX: Graph analytics for insights about developer communities
Paco Nathan
•
8 years ago
React Redux React Native
Leonardo YongUk Kim
•
8 years ago
Python Advanced – Building on the foundation
Kevlin Henney
•
8 years ago
React JS and why it's awesome
Andrew Hull
•
9 years ago
차원축소 훑어보기 (PCA, SVD, NMF)
beom kyun choi
•
9 years ago
[D2]java 성능에 대한 오해와 편견
NAVER D2
•
8 years ago
FIFA 온라인 3의 MongoDB 사용기
Jongwon Kim
•
8 years ago
Scala dreaded underscore
RUDDER
•
13 years ago
Consumer offset management in Kafka
Joel Koshy
•
9 years ago
[252] 증분 처리 플랫폼 cana 개발기
NAVER D2
•
8 years ago
Personal Information
Organization / Workplace
Korea Korea, South
Occupation
Software Engineer & Architect
Industry
Technology / Software / Internet
About
- 13 years of software development experience
- 8 years of data engineer experience
- 4+ years of software development in personalized recommendation algorithms and real-time data processing
- 3+ years of software development in search server and crawler
- Extremely proficient at building real-time ETL data pipeline
- Extremely proficient at processing big data with Hadoop, Storm, Kafka, HBase and Spark
- Extremely proficient at developing API server
- Proficient at developing personalized recommendation algorithms
- Heavy use of Hadoop, HBase, Mahout, Kafka, Storm, Solr and Spark to build dataset
- Highly experienced in Python, Java programming languages and Linux, MySQL environment