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JeonDaehong/README.md
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Hello! My name is Daehong Jeon
I'm Software Engineer / Data Engineer.


My Blog
Blog
My Email
Email
My Linkedin
Linkedin

πŸ§‘β€πŸ’» About Me

πŸ’» Data Platform & Lakehouse Engineer

  • Extensive experience in the finance and e-commerce domains, covering everything from Hadoop-based ecosystems to modern cloud-native data platforms.
  • Skilled in processing tens to hundreds of terabytes of data, developing Spark-based distributed ETL pipelines, optimizing Hadoop legacy systems, and designing highly available, failover-ready, and concurrency-controlled data infrastructures.
  • Experienced in designing and building Data Lakehouse architectures, operating large-scale Amazon Redshift-based Data Warehouses, and developing production-grade ETL orchestration with Apache Airflow.
  • Hands-on experience in metadata management, data governance, workflow automation, platform reliability, and large-scale data platform operations.
  • Designed and implemented OWL ontology-based Virtual Knowledge Graph (VKG) architectures for semantic data integration and knowledge-driven analytics.

πŸ‘₯ Leadership & Management

  • Experience leading data platform projects from architecture design to production operation, while coordinating stakeholders and driving technical decision-making.
  • Actively involved in mentoring, knowledge sharing, technical leadership, and improving engineering productivity through automation and operational excellence.

🌐 I love contributing to open source

  • Active contributor to data engineering projects such as Apache Iceberg and Apache Kafka, including issue triage, bug investigation, PR reviews, and documentation improvements.
  • Open Source Mentoring (2025.05~) β€” Engaged in fostering a healthy and sustainable open source culture in Korea.

🎯 My Goals

  • To grow as a technology leader who continuously adopts and disseminates emerging technologies while building strong engineering cultures.
  • To design and operate scalable, reliable, and maintainable data platforms that support high-volume, mission-critical workloads.
  • To contribute to both business success and the open source ecosystem through technical excellence, leadership, and knowledge sharing.

πŸ› οΈ Open Source Contributions

⭐️ Contribution Library

Apache Iceberg Spring Kafka Apache Gravitino

⭐️⭐️ contribution & activity list ( 11 PR )

project summary Type link date
Fixed Markdown rendering in Row-level Deletes section (bullets, duplicates, line breaks). Docs PR 25.09
Added missing super.validate() call in OAuth2TokenResponse.validate(). Bug Fix, Improvement PR 25.09
Fixed incorrect field assignments in TestModelMetaService tests. Bug Fix, Test PR 25.08
Added docs for Table Maintenance in Flink (file compaction, orphan removal, snapshot expiration). Docs PR 25.08
Fixed early return in GroupMetaService.updateGroup that ignored non-role updates. Bug Fix, Test PR 25.08
Fixed NullPointerException in EntityCombinedFileset with null-safe hiddenProperties. Bug Fix, Test PR 25.08
Fixed null-safe handling of managed property in CreateFileset.java. Bug Fix, Test PR 25.08
Added request.validate() in PartitionOperations.java for proper error handling. Improvement PR 25.08
Migrated Flink catalog tests from JUnit4 to JUnit5. Improvement(Core) PR 25.05
Backported JUnit5 migration to Iceberg 1.19 and 1.20. Improvement(Core) PR 25.05
Updated test code and docs for Kafka retry topic template bean name. Improvement, Docs PR 24.10

πŸ’‘ Tech Stack

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  1. daehong-food-delivery daehong-food-delivery Public

    Java 1

  2. study-concurrency study-concurrency Public

    Java 1

  3. study-java-algorithm study-java-algorithm Public

    Java 1

  4. study-spring-basic study-spring-basic Public

    Java 1

  5. scenario-gpt-project scenario-gpt-project Public

    HTML 1

  6. JeonDaehong.github.io JeonDaehong.github.io Public

    HTML 1 1