Jaehyeon Kim
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  3. Data Engineering

Building an Agentic Analytics System over an Iceberg Lakehouse

Building an Agentic Analytics System over an Iceberg Lakehouse
July 18, 20266 min read Data-Engineering Machine-Learning Open SourceAgentic AIApache IcebergDynamic-DesMem0OdctlStrandsTrinoWrenAI

A local open source proof of concept that puts a semantic layer between a language model and an Iceberg lakehouse, using Strands, WrenAI and Trino.

Read More: Building an Agentic Analytics System over an Iceberg Lakehouse

Dynamic DES v0.11.1: A Declarative API with Postgres and Redis Connectors

Dynamic DES v0.11.1: A Declarative API with Postgres and Redis Connectors
July 17, 20264 min read Data-Engineering Open Source Building Real-Time Digital Twins With Dynamic-DesApache KafkaDigital TwinDiscrete Event SimulationDynamic-DesPostgreSQLPythonRedisSimPy

Dynamic DES v0.11.1 adds a declarative SimulationContext API, native Postgres and Redis ingress and egress connectors, and broader object storage.

Read More: Dynamic DES v0.11.1: A Declarative API with Postgres and Redis Connectors

Introducing odctl: One CLI for a Local Open Data Stack

Introducing odctl: One CLI for a Local Open Data Stack
July 16, 20264 min read Data-Engineering Open SourceApache FlinkApache IcebergApache KafkaApache SparkOdctlOpen Data StackPythonTrino

odctl is a CLI on PyPI that launches Kafka, Flink, Spark, Trino, Iceberg, Airflow and an MLOps and observability suite as one local stack.

Read More: Introducing odctl: One CLI for a Local Open Data Stack

One Simulation, Two Pipelines: Batch Training and Live Inference with Dynamic DES v0.8.1

One Simulation, Two Pipelines: Batch Training and Live Inference with Dynamic DES v0.8.1
May 25, 20263 min read Data-Engineering Machine-Learning Open Source Building Real-Time Digital Twins With Dynamic-DesApache KafkaData LakeDiscrete Event SimulationDynamic-DesParquetPythonSimPy

Dynamic DES v0.8.1 adds data lake integration, so one SimPy codebase writes batch Parquet data for ML training and streams live Kafka events.

Read More: One Simulation, Two Pipelines: Batch Training and Live Inference with Dynamic DES v0.8.1

Current London 2026: Building End-to-End Data Lineage

Current London 2026: Building End-to-End Data Lineage
May 22, 20263 min read Data-EngineeringApache FlinkApache KafkaApache SparkData LineageOpenLineage

A comprehensive walkthrough from my session at Current London 2026 on capturing and visualizing data lineage across a production-style data stack.

Read More: Current London 2026: Building End-to-End Data Lineage

Building an Event-Driven Hybrid Digital Twin with dynamic-des

Building an Event-Driven Hybrid Digital Twin with dynamic-des
April 29, 20269 min read Data-Engineering Open Source System-Architecture Building Real-Time Digital Twins With Dynamic-DesApache KafkaDigital TwinDiscrete Event SimulationDynamic-DesIoTPythonSimPy

Turn a static model into a synchronized forecasting engine with dynamic-des, using the Switchboard pattern, mutable resources and dynamic topic routing.

Read More: Building an Event-Driven Hybrid Digital Twin with dynamic-des

Self-service Data Platform via a Multi-tenant SQL Gateway

Self-service Data Platform via a Multi-tenant SQL Gateway
July 17, 202515 min read Big Data Data Architecture Data-Engineering Data-StreamingApache FlinkApache KyuubiApache RangerApache SparkMarquezOpenLineageSQL GatewayTrino

Apache Kyuubi as a multi-tenant SQL gateway that provisions on-demand Spark, Flink and Trino engines, giving self-service analytics with central governance.

Read More: Self-service Data Platform via a Multi-tenant SQL Gateway

Meet the Streamhouse Trio - Paimon, Fluss, and Iceberg for Unified Data Architectures

Meet the Streamhouse Trio - Paimon, Fluss, and Iceberg for Unified Data Architectures
May 6, 20256 min read Big Data Data Architecture Data-Engineering Data-StreamingApache FlinkApache IcebergApache PaimonFluss

Apache Paimon, Fluss and Apache Iceberg compared as table layers for streaming and batch, then combined into one architecture with Flink and Spark.

Read More: Meet the Streamhouse Trio - Paimon, Fluss, and Iceberg for Unified Data Architectures

Guide to Running DBT in Production

Guide to Running DBT in Production
September 13, 202423 min read Data-Engineering Dbt Guide for ProductionBigQueryContinuous DeliveryContinuous IntegrationDbtGitHub Actions

Deploying a dbt project to dev and prod on BigQuery, covering slim CI, unit tests and a write audit publish step that builds on a cloned dataset.

Read More: Guide to Running DBT in Production

DBT CI/CD Demo with BigQuery and GitHub Actions

DBT CI/CD Demo with BigQuery and GitHub Actions
September 5, 202418 min read Data-Engineering Dbt Guide for ProductionBigQueryContinuous DeliveryContinuous IntegrationDbtGitHub Actions

GitHub Actions gives a dbt project on BigQuery a slim CI run on pull requests and a deploy job that publishes the project as a container image.

Read More: DBT CI/CD Demo with BigQuery and GitHub Actions
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Profile
Jaehyeon Kim
Jaehyeon Kim
Data Engineer | Data Streaming | Powering ML & AI in Real Time
Taxonomies
Data Streaming 70 Data Engineering 38 Development 28 Data Analysis 17 Data Integration 12 Open Source 8 Kubernetes 6 Machine Learning 6 Security 5 Data Architecture 3 Data Processing 3 Big Data 2 System Architecture 2 Web Development 2
Python 75 Apache Kafka 68 AWS 50 Docker 50 Apache Flink 34 Apache Beam 17 Apache Spark 16 Kafka Connect 15 Amazon MSK 14 AWS Lambda 14 dbt 13 Amazon EMR 11 Kubernetes 8 PyFlink 8 dynamic-des 7 Kotlin 7 PostgreSQL 7 Apache Airflow 6 Change Data Capture (CDC) 6 Debezium 6 Amazon DynamoDB 5 Apache Iceberg 5 Discrete Event Simulation 5 Factor House Local 5 PySpark 5 Amazon API Gateway 4 Amazon Athena 4 AWS Glue 4 AWS Glue Schema Registry 4 BigQuery 4 Digital Twin 4 FastAPI 4 Minikube 4 SimPy 4 Amazon EKS 3 Amazon QuickSight 3 Amazon S3 3 Apache Hudi 3 EMR on EKS 3 GCP 3 ALL 141
Kafka Development with Docker 11 Apache Beam Python Examples 10 Real Time Streaming with Kafka and Flink 7 dbt Pizza Shop Demo 6 Apache Beam Local Development with Python 5 Building Real-Time Digital Twins with dynamic-des 5 dbt for Effective Data Transformation on AWS 5 Getting Started with Real-Time Streaming in Kotlin 5 Kafka Connect for AWS Services Integration 5 Serverless Data Product 4 Data Lake Demo Using Change Data Capture 3 Getting Started with PyFlink on AWS 3 Kafka Development on Kubernetes 3 Parallel processing on single machine 3 Realtime Dashboard with FastAPI, Streamlit and Next.js 3 API development with R 2 dbt Guide for Production 2 Deploy Python Stream Processing App on Kubernetes 2 Download Stock Data 2 From Prototype to Production: Real-Time Product Recommendation with Contextual Bandits 2 ALL 25
2026 12 2025 13 2024 29 2023 39 2022 15 2021 7 2020 1 2019 5 2018 2 2017 6 2016 6 2015 15 2014 5
Posts
  • Learning MLOps with a Feature Store: A New Series
    Learning MLOps with a Feature Store: A New Series
    September 28, 2026
  • Building an Agentic Analytics System over an Iceberg Lakehouse
    Building an Agentic Analytics System over an Iceberg Lakehouse
    July 18, 2026
  • Dynamic DES v0.11.1: A Declarative API with Postgres and Redis Connectors
    Dynamic DES v0.11.1: A Declarative API with Postgres and Redis Connectors
    July 17, 2026
  • Introducing odctl: One CLI for a Local Open Data Stack
    Introducing odctl: One CLI for a Local Open Data Stack
    July 16, 2026
  • One Simulation, Two Pipelines: Batch Training and Live Inference with Dynamic DES v0.8.1
    One Simulation, Two Pipelines: Batch Training and Live Inference with Dynamic DES v0.8.1
    May 25, 2026
  • Building an Event-Driven Hybrid Digital Twin with dynamic-des
    Building an Event-Driven Hybrid Digital Twin with dynamic-des
    April 29, 2026
  • Why Digital Twins Are Rewiring Industry 4.0
    Why Digital Twins Are Rewiring Industry 4.0
    April 22, 2026
  • Building a Real-Time Industrial Digital Twin with Apache Flink and Online Machine Learning
    Building a Real-Time Industrial Digital Twin with Apache Flink and Online Machine Learning
    April 21, 2026
  • Slides as Code: Integrating Reveal.js into my Hugo Blog
    Slides as Code: Integrating Reveal.js into my Hugo Blog
    March 9, 2026
  • Productionizing an Online Product Recommender using Event Driven Architecture
    Productionizing an Online Product Recommender using Event Driven Architecture
    February 23, 2026
  • Learning MLOps with a Feature Store: A New Series
    Learning MLOps with a Feature Store: A New Series
    September 28, 2026
  • Building an Agentic Analytics System over an Iceberg Lakehouse
    Building an Agentic Analytics System over an Iceberg Lakehouse
    July 18, 2026
  • Dynamic DES v0.11.1: A Declarative API with Postgres and Redis Connectors
    Dynamic DES v0.11.1: A Declarative API with Postgres and Redis Connectors
    July 17, 2026
  • Introducing odctl: One CLI for a Local Open Data Stack
    Introducing odctl: One CLI for a Local Open Data Stack
    July 16, 2026
  • One Simulation, Two Pipelines: Batch Training and Live Inference with Dynamic DES v0.8.1
    One Simulation, Two Pipelines: Batch Training and Live Inference with Dynamic DES v0.8.1
    May 25, 2026
  • Current London 2026: Building End-to-End Data Lineage
    Current London 2026: Building End-to-End Data Lineage
    May 22, 2026
  • Building an Event-Driven Hybrid Digital Twin with dynamic-des
    Building an Event-Driven Hybrid Digital Twin with dynamic-des
    April 29, 2026
  • Why Digital Twins Are Rewiring Industry 4.0
    Why Digital Twins Are Rewiring Industry 4.0
    April 22, 2026
  • Building a Real-Time Industrial Digital Twin with Apache Flink and Online Machine Learning
    Building a Real-Time Industrial Digital Twin with Apache Flink and Online Machine Learning
    April 21, 2026
  • Slides as Code: Integrating Reveal.js into my Hugo Blog
    Slides as Code: Integrating Reveal.js into my Hugo Blog
    March 9, 2026
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Jaehyeon Kim

Data Engineer | Data Streaming | Powering ML & AI in Real Time

Copyright © 2023-2026 Jaehyeon Kim. All Rights Reserved.