Sanghyeon Park
Big Data Engineer
South Korea
Summary
🤩
Rockstar🎓
Top SchoolSanghyeon Park is a Big Data Engineer with over a decade of experience designing, deploying, and operating Cloudera-based Hadoop ecosystems for enterprise clients in South Korea. He combines deep Java and Hadoop ecosystem skills (Spark, HBase, Hive, Kafka, Solr) with practical platform operations—troubleshooting data sync and workflow integrity issues and implementing access/metadata strategies for production platforms. His background spans IoT and semantic data work, including ontology-driven context models and OneM2M-compliant pipelines that convert MongoDB sensor data into Kafka-backed triple stores. Comfortable as both a hands-on developer and a technical lead, he has led SI projects and platform builds for insurance, finance, and public sector customers. Colleagues value that he pairs legacy Java application experience with modern big-data architecture, enabling reliable data services at scale.
10 years of coding experience
18 years of employment as a software developer
학사, 재료공학과, 학사, 재료공학과 at 군산대학교
Github Skills (5)
spring-boot9
semantic7
microservices7
data-analysis5
amazon-ecs1
Programming languages (1)
Github contributions (5)
iotoasis/SDA
Dec 2015 - Feb 2018
Contributions:4 releases, 160 commits, 90 PRs in 2 years 2 months
semantic-datadata-analysissemantic
goopers/gooper_repo
Dec 2015 - Nov 2016
Contributions:5 pushes, 2 branches in 10 months
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