Jaehyeon Kim
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Consume data from Kafka using Lambda - Real Time Streaming with Kafka and Flink Lab 6

Consume data from Kafka using Lambda - Real Time Streaming with Kafka and Flink Lab 6
December 14, 20236 min read Data-Streaming Real Time Streaming With Kafka and FlinkAmazon MSKApache KafkaAWSAWS LambdaKpowPython

Consume Kafka messages with an AWS Lambda function, using Amazon MSK as an event source so that Lambda polls the topic and invokes the function.

Read More: Consume data from Kafka using Lambda - Real Time Streaming with Kafka and Flink Lab 6

Deploy Aiven OpenSearch Sink Connector - Kafka Connect for AWS Services Integration Part 5

Deploy Aiven OpenSearch Sink Connector - Kafka Connect for AWS Services Integration Part 5
October 30, 202318 min read Data-Streaming Kafka Connect for AWS Services IntegrationAmazon MSKAmazon OpenSearch ServiceApache KafkaAWSKafka ConnectKpow

Deploy a Kafka to OpenSearch pipeline on AWS with Terraform, covering a VPC, VPN server, MSK cluster, OpenSearch domain and the MSK Connect connectors.

Read More: Deploy Aiven OpenSearch Sink Connector - Kafka Connect for AWS Services Integration Part 5

Produce data to Kafka using Lambda - Real Time Streaming with Kafka and Flink Lab 1

Produce data to Kafka using Lambda - Real Time Streaming with Kafka and Flink Lab 1
October 26, 202314 min read Data-Streaming Real Time Streaming With Kafka and FlinkAmazon EventBridgeAmazon MSKApache KafkaAWSAWS LambdaKpowPython

Produce fake taxi ride data into a Kafka topic on Amazon MSK from an AWS Lambda function invoked repeatedly by an EventBridge schedule rule.

Read More: Produce data to Kafka using Lambda - Real Time Streaming with Kafka and Flink Lab 1

Real Time Streaming with Kafka and Flink - Introduction

Real Time Streaming with Kafka and Flink - Introduction
October 5, 20236 min read Data-Streaming Real Time Streaming With Kafka and FlinkAmazon MSKApache FlinkApache KafkaAWSPyFlink

Kafka and PyFlink replace Amazon Kinesis in a real time analytics app from an AWS workshop. The original and the new architecture are compared.

Read More: Real Time Streaming with Kafka and Flink - Introduction

Getting Started with PyFlink on AWS - Part 3 AWS Managed Flink and MSK

Getting Started with PyFlink on AWS - Part 3 AWS Managed Flink and MSK
September 4, 202314 min read Data-Streaming Getting Started With PyFlink on AWSAmazon MSKApache KafkaAWSDockerKpowPyFlinkPython

Deploy a PyFlink app that reads and writes Kafka topics on Amazon MSK to Amazon Managed Service for Apache Flink, the managed Flink runtime.

Read More: Getting Started with PyFlink on AWS - Part 3 AWS Managed Flink and MSK

Getting Started with PyFlink on AWS - Part 2 Local Flink and MSK

Getting Started with PyFlink on AWS - Part 2 Local Flink and MSK
August 28, 202320 min read Data-Streaming Getting Started With PyFlink on AWSAmazon MSKApache FlinkApache KafkaAWSKpowPyFlinkPython

Connect a PyFlink app to an IAM authenticated MSK cluster, building a custom uber jar because Amazon Managed Service for Apache Flink takes only one jar.

Read More: Getting Started with PyFlink on AWS - Part 2 Local Flink and MSK

Deploy Camel DynamoDB Sink Connector - Kafka Connect for AWS Services Integration Part 3

Deploy Camel DynamoDB Sink Connector - Kafka Connect for AWS Services Integration Part 3
July 3, 202314 min read Data Integration Data-Streaming Kafka Connect for AWS Services IntegrationAmazon DynamoDBAmazon MSKApache CamelApache KafkaAWSKafka ConnectKpow

Deploy the Camel DynamoDB sink connector and its data generator source on Amazon MSK and MSK Connect, moving the local pipeline onto AWS.

Read More: Deploy Camel DynamoDB Sink Connector - Kafka Connect for AWS Services Integration Part 3

Kafka Connect for AWS Services Integration - Part 1 Introduction

Kafka Connect for AWS Services Integration - Part 1 Introduction
May 3, 20234 min read Data Integration Data-Streaming Kafka Connect for AWS Services IntegrationAmazon MSKApache KafkaAWSKafka Connect

A survey of the Kafka connectors available for AWS service integration, as the starting point for building real time data pipelines on AWS.

Read More: Kafka Connect for AWS Services Integration - Part 1 Introduction

Simplify Streaming Ingestion on AWS - Part 2 MSK and Athena

Simplify Streaming Ingestion on AWS - Part 2 MSK and Athena
March 14, 202313 min read Data-Streaming Simplify Streaming Ingestion on AWSAmazon AthenaAmazon MSKApache KafkaAWSAWS LambdaPython

Stream Kafka records from Amazon MSK into Athena through its direct integration, with a producer Lambda built locally using AWS SAM and Terraform.

Read More: Simplify Streaming Ingestion on AWS - Part 2 MSK and Athena

Simplify Streaming Ingestion on AWS - Part 1 MSK and Redshift

Simplify Streaming Ingestion on AWS - Part 1 MSK and Redshift
February 8, 202318 min read Data-Streaming Simplify Streaming Ingestion on AWSAmazon MSKAmazon RedshiftApache KafkaAWSAWS LambdaPython

Stream Kafka records from Amazon MSK into Redshift through its direct integration, with a producer Lambda built locally using AWS SAM and Terraform.

Read More: Simplify Streaming Ingestion on AWS - Part 1 MSK and Redshift
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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 7 Kubernetes 6 Machine Learning 5 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 Kotlin 7 PostgreSQL 7 Change Data Capture (CDC) 6 Debezium 6 dynamic-des 6 Amazon DynamoDB 5 Apache Airflow 5 Discrete Event Simulation 5 Factor House Local 5 PySpark 5 Amazon API Gateway 4 Amazon Athena 4 Apache Iceberg 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 137
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 24
2026 11 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
  • 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
  • Stream Processing with Flink in Kotlin
    Stream Processing with Flink in Kotlin
    December 10, 2025
  • 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
  • Productionizing an Online Product Recommender using Event Driven Architecture
    Productionizing an Online Product Recommender using Event Driven Architecture
    February 23, 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.