In this project, we build a real-time data pipeline using Kafka and Spark Streaming. We stream data from a custom-built Flight Map API and ingest it into MongoDB. Then, using Apache Airflow, we set…

Data Engineer Things

A comprehensive guide to building a real-time flight data pipeline using Kafka for streaming, Spark for processing, and Airflow for orchestration. The pipeline fetches live flight data from a custom API, streams it through Kafka to MongoDB for storage, then uses Airflow to schedule daily ETL jobs that extract landed flight information into PostgreSQL and generate CSV reports. The project includes Docker containerization, complete code examples, and demonstrates end-to-end data engineering practices from real-time ingestion to batch processing and reporting.

Building a Real-Time Flight Data Pipeline with Kafka, Spark, and Airflow

Triggering the Airflow Process with the DAG File

<p><a href="https://blog.dataengineerthings.org/building-a-real-time-flight-data-pipeline-with-kafka-spark-and-airflow-a657d4e2e3de?gi=75cf29750383" target="_blank" rel="noopener nofollow">https://blog.dataengineerthings.org/building-a-real-time-flight-data-pipeline-with-kafka-spark-and-airflow-a657d4e2e3de?gi=75cf29750383</a></p>


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