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Mark Cho
Staff Software Engineer at Netflix
About
Mark Cho is a highly skilled Senior Software Engineer with over 10 years of experience in the tech industry. Currently, he is working as a Staff Software Engineer at Netflix, where he is a part of the Real-time Data Infrastructure Team. His primary responsibilities include working on the Stream Processing Platform team, where he is responsible for developing and optimizing various parts of the data warehouse, including Spark, HDFS, Hive Metastore, and Presto. Before joining Netflix, Mark worked as a Senior Software Engineer at Pinterest, where he was responsible for building a new data warehouse platform for stream processing on top of HDFS. He also developed a Spark Streaming job to persist data from Kafka into the data warehouse in real-time, implemented a disaster recovery pipeline for backing up critical data in HDFS to AWS S3 using Spark and HDFS snapshots, and optimized and tuned various parts of the data warehouse to improve performance and efficiency of the platform. Mark also worked as a Tech Lead, Full Stack Engineer at Pinterest, where he worked on every layer of the stack to build Pinterest Analytics, Pinterest Ads Manager, Ads API, and Bulk Editor. He developed front-end components using HTML, JavaScript, and CSS, wrote application code in Python, and maintained and debugged databases such as MySQL and HBase. Mark started his career as a Software Engineer Intern at Twitter, where he worked on the Twitter Cards Analytics team, implementing a portion of Twitter Cards Analytics platform. He worked with Scala, JavaScript, HTML, and LESS to implement various features such as Top Metrics (URL, Tweets, Accounts) tables. Mark holds a Bachelor's degree in Software Engineering from the University of Waterloo. His technical skills include Software Engineering, Javascript, HDFS, Spark, Data Warehouse, Infra, ReactJS, SQL, Flask, AWS, Apache Hive, Data Engineering, Python, Django, MySQL, Kafka, and Frontend. With his extensive experience and technical expertise, Mark is a valuable asset to any team.
Education Overview
Companies Overview
• netflix
• blackberry
• aria solutions
Experience Overview
12 Years
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Amazon S3
Amazon Web Services (AWS)
analytics
Apache Hive
Apache Spark
Application Programming Interfaces (API)
Cascading Style Sheets (CSS)
Data Engineering
Data Warehouse
Data Warehousing
Debugging
disaster recovery
Flask
Frontend
HBase
HDFS
Hive
html
infra
Infrastructure
Javascript
Kafka
LESS
MySQL
Python
Senior Software Engineer
Software Engineer
SQL
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