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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. dynamic-des dynamic-des Public

    Real-time SimPy control plane to dynamically update parameters and stream outputs via external systems like Kafka, Redis, or Postgres. Built for event-driven digital twins.

    Python 3

  2. 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 107 11

  3. factorhouse/factorhouse-local factorhouse/factorhouse-local Public

    Docker Compose environments for developing modern data platform architectures using Kafka, Flink, Spark, Iceberg, OpenLineage, OpenMetadata, Pinot, ClickHouse, StarRocks + Kpow & Flex by Factor House

    Shell 54 6

  4. oml-digital-twin-hotrolling oml-digital-twin-hotrolling Public

    A streaming Digital Twin of a steel hot rolling mill demonstrating Online Machine Learning (OML) with Apache Kafka, Apache Flink and MOA to handle real-time concept drift.

    Kotlin 4

  5. kafka-pocs kafka-pocs Public

    Apache Kafka and Related Projects

    Shell 32 14

  6. flink-demos flink-demos Public

    Apache Flink Demo Projects

    Python 44 14