Juhwi聽Lee
Data Engineer
South Korea
Summary
馃懁
Senior馃帗
Top SchoolJuhwi Lee is a data engineer with nine years of experience specializing in large-scale ad and web log data pipelines at NAVER Corp in South Korea. He designs and maintains batch ETL systems using Hive on Tez, Airflow, HBase/Phoenix and Elasticsearch, and has built datawarehouses and cross-storage flows (Hive鈫扗ruid/Oracle/HBase). Comfortable with both infrastructure and application layers, he鈥檚 contributed to Apache Airflow and explored running Airflow on Kubernetes while also developing internal ETL tools with Java and AngularJS. Known for pragmatic solutions to high-throughput logging and advertising data challenges, he balances hands-on storage optimization with orchestration and observability. His electrical and electronics engineering background gives him a systems-oriented approach to data engineering problems.
9 years of coding experience
Bachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at Hanyang University
Github Skills (21)
monitor10
python10
data-science10
data-engineering10
machine-learning10
apache10
scheduler10
etl10
automation10
mlops10
orchestration10
data-pipelines9
apache-airflow9
workflow-engine9
elt9
Programming languages (1)
Github contributions (5)
happyjulie/algorithm
Oct 2018 - Aug 2020
Contributions:14 pushes, 4 issues in 1 year 9 months
happyjulie/tensorflow
Feb 2017 - May 2018
Contributions:5 pushes, 1 branch in 1 year 3 months
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