Juhwi Lee

Data Engineer

South Korea
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Summary

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Senior
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Top School
Juhwi 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→Druid/Oracle/HBase). Comfortable with both infrastructure and application layers, he’s 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.
code9 years of coding experience
bookBachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at Hanyang University
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Github Skills (18)

python10
data-science10
machine-learning10
apache10
scheduler10
etl10
automation10
mlops10
orchestration10
data-engineering9
data-pipelines9
apache-airflow9
workflow-engine9
elt9
airflow9

Programming languages (1)

Python

Github contributions (5)

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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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