Summary
Kim Kim is a data engineer with 11 years of software and analytics experience, currently building data platforms at Meta after shaping Amazon’s global transportation analytics and big data architecture. They have hands-on expertise designing and operating petabyte-scale warehouses and streaming pipelines using Spark, Redshift, Kinesis, EMR, Glue, Kafka and Presto to serve thousands of internal users. Comfortable across Scala, Java, Python and SQL, Kim has a track record of simplifying complex business problems into production-grade data solutions and maintaining 10+ large data stores. Prior roles at NAVER and Samsung broadened their systems and software foundation, and their background blending computer engineering with an unconventional academic tie to agricultural/food engineering hints at pragmatic problem-solving and cross-domain curiosity.
11 years of coding experience
8 years of employment as a software developer
학사 컴퓨터 공학 축산식품공학, 학사 컴퓨터 공학 축산식품공학 at 건국대학교
Korean, English, Japanese