Summary
Sunghwan Ki is a senior data engineer with nine years of cross-industry experience designing and automating ETL and real-time data pipelines for enterprise analytics. At PNC he built and optimized Kafka-to-Exadata-to-Hadoop streaming architectures and automated PySpark ingestion frameworks that cut manual intervention and latency. He pairs strong hands-on skills in Python, SQL, Oracle Exadata, Hadoop, and AWS with practical data governance and quality assurance to support data-driven decisions. His background in manufacturing and supply-chain roles gives him uncommon domain fluency for diagnosing production and inventory data issues end-to-end. Sunghwan holds an MS in Data Science and completed intensive data analyst nanodegrees, blending formal training with production-grade big data engineering.
8 years of coding experience
4 years of employment as a software developer
Programming Nanodegree - Data Analyst, Advance Data Analyst, Programming Nanodegree - Data Analyst, Advance Data Analyst at Udacity
Master of Science - MS, Data science, 3.58, Master of Science - MS, Data science, 3.58 at University of Wisconsin-La Crosse
Bachelor's Degree, Business Administration and Management, General, 3.6 / 4.5, Bachelor's Degree, Business Administration and Management, General, 3.6 / 4.5 at Myongji University
English, Korean