[ETL]- Batch pipelinesDevelopment of Batch Data pipeline about Semiconductor Equipment data (12TB per day) based on NIFI, Airflow, spark- Streaming pipelinesDevelopment of Streaming Data pipeline about Semiconductor yield data Data based on OGG(CDC), Kafka, Spark streaming, Apache Iceberg, Apache Livy[Operation]- Data Lake OperationManaged and optimized DataLake infrastructure to ensure efficient data storage and improved overall data quality and system performance based on Hadoop.- Kafka Cluster OperationManaged and operated Apache Kafka clusters, ensuring reliable and efficient data streaming and processing.- Data Service(Python libary across the enterprise)Oversaw and optimized the Voice of Customer (VOC) process for users of Python library-based Data Services, enhancing service efficiency and user satisfaction.[Data Observability]Designed and implemented dashboards for data quality management, enhancing data observability and ensuring reliable pipeline operations based on Splunk, in-house alert system.

[Recruit]- Reviewed application documents and conducted interviews for recruitment processes.- Developed promotional videos for recruitment campaigns, enhancing employer branding.link : https://youtu.be/ZEbT2W2OpvI?si=7cxPpfJkCeFi43EZ- Managed the recruitment process for PhD-level candidates in the U.S.

GPU programming. Parallel programming, HPC architecture Design.

1. Build IoT Data Pipelines. 2. Write Research Proposal About Multi-modal deeplearning system.@Intelligent Systems Lab.