About

Jieun C. is an experienced Data Engineer with a strong background in various industries. She possesses a diverse skill set that includes Java, Kotlin, C++, Python, Spring Boot, Terraform, and AWS. Jieun has a Master of Science degree focused in Computer Science from Virginia Tech and has teaching experience. Currently, Jieun is a Data Engineer at Tappytoon, where she has led data analysis projects for the entire company and developed data pipelines. She has also developed and maintained large-scale Data Warehouse, BI tools, and other internal software. Jieun has migrated databases from MySQL 5.6 to Aurora MySQL 5.7 without downtime and has mentored non-CS background colleagues. Additionally, she has built personalization and similar item recommendation systems using AWS Personalize and maintained internal daily/real-time data integration systems using MongoDB in EC2. Jieun has experience providing technical leadership and mentoring other engineers/members for best practices in the data engineering space. Prior to Tappytoon, Jieun worked as a Software Engineer at Google, where she developed distributed data-processing pipelines to aggregate and modify YouTube financial data for payments. She also built nomination experiments and analyzed YouTube's user traffic data for Watch Next page. Jieun migrated and tested Python during her time at Google. Jieun has also worked as a Graduate Teaching Assistant at Virginia Tech, where she lectured 800 CS2 level students, collaborated with 20 TAs on a weekly basis, and delivered one-on-one GitHub training. She has a strong set of skills and tools, including Eclipse, Java, Unit Testing, Data Structures and Algorithms, Teaching, and Communication. Jieun's tech stack includes Data Engineering, AWS, MySQL, MongoDB, Recommendation systems, ECS, Terraform, Amazon Athena, Data Warehouse, Python, Docker, Spring Boot, Spring, Integration, Infra, Software Engineer, Java, Test, Kotlin, Spark, Hadoop, and Apache Hive. With 3.78 years of relevant experience, Jieun is a strong information technology professional with a demonstrated history of success in the field.