Build a Real Time Order Processing Pipeline with Apache Kafka and PostgreSQL | Live Capstone Project

Build a production style, real time order processing pipeline using Apache Kafka and PostgreSQL. In this hands on masterclass, you will build the OrderStream pipeline from the ground up, starting with continuous order event generation and Kafka topic design, followed by keyed event production, multi partition consumption, validation, Dead Letter Queue handling, controlled offset commits, and analytics ready persistence in PostgreSQL.

You will learn how individual Kafka components work together in a realistic event driven application and how to design a pipeline that can tolerate invalid events, consumer restarts, reprocessing, and duplicate deliveries. The masterclass focuses on practical implementation rather than theory, giving you a complete working pipeline that demonstrates real time data engineering concepts using Python, Apache Kafka, and PostgreSQL.

By the end of this masterclass, you will be able to:

• Design Kafka topics and partitions for scalable real time event processing.
• Build a Python based order event generator and keyed Kafka producer.
• Publish JSON order events to a multi partition Kafka topic.
• Build a Kafka consumer using a named consumer group.
• Validate incoming order events and identify invalid or malformed records.
• Implement a Dead Letter Queue for failed order events.
• Manage Kafka offsets using controlled commits and understand at least once delivery.
• Handle consumer restarts, reprocessing, and partition rebalancing.
• Persist validated order events into PostgreSQL for analytics.
• Implement duplicate protection using order ID based idempotency.
• Test the complete pipeline from event generation through database persistence.
• Understand how the same architecture can be extended into a production grade event driven data pipeline.