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jaehyeon-kim/README.md

About Me

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I lead Developer Experience at Factor House, where I create technical content, drive platform engineering initiatives, and present at meetups and conferences. With expertise in real-time systems and modern data platforms, I've worked extensively with Kafka, Flink, Spark, and the integrated architectures. As a passionate engineer and writer, I share practical insights on real-time analytics, data architectures, data lakehouse patterns, data lineage, and building systems that remain resilient, observable, and maintainable at scale.

Learn more about Factor House's work: https://factorhouse.io/

Also, I explore topics related to Kafka, Flink, and streaming data ecosystems on my blog: https://jaehyeon.me.

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  1. kafka-pocs kafka-pocs Public

    Apache Kafka and Related Projects

    Shell 32 13

  2. flink-demos flink-demos Public

    Apache Flink (Pyflink) and Related Projects

    Python 42 12

  3. streaming-demos streaming-demos Public

    Data streaming demo projects

    Python 1 1

  4. nicegui-fastapi-template nicegui-fastapi-template Public

    A template for rapidly building full-stack web applications in Python, featuring a FastAPI backend, a NiceGUI frontend, PostgreSQL, and Docker.

    Python 32 2

  5. dbt-on-aws dbt-on-aws Public

    dbt (data build tool) projects targeting AWS analytics services (redshift, glue, emr, athena) and open table formats

    HCL 31 9

  6. data-lake-demo data-lake-demo Public

    Forked from cevoaustralia/data-lake-demo

    Data lake demo using change data capture (CDC) on AWS

    PLpgSQL 1 2