CDC Pipeline with Debezium & Kafka

Data Engineering

Overview

Architected and implemented a robust Change Data Capture (CDC) solution using Debezium and Apache Kafka for real-time data synchronization and event streaming. This system enables seamless data flow between multiple databases and services while maintaining data consistency and enabling event-driven architecture.

Architecture

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Key Features

Change Detection

Debezium monitors database transaction logs in real-time

Event Creation

Converts database changes into Kafka events

Stream Processing

Kafka distributes events to subscribed consumers

Schema Registry

Maintains event schema consistency

Tech Stack

Apache KafkaDebeziumPostgreSQLEvent StreamingNestJS

Use Cases

  • ▹Real-time data replication across microservices
  • ▹Cache invalidation and synchronization
  • ▹Audit logging and compliance tracking
  • ▹Analytics pipeline feeding
  • ▹Search index updates