Real-Time Passenger Insights Platform for Enhanced Airline Experience

In the competitive landscape of the airlines and aviation industry, understanding passenger needs and optimizing operations are critical to maintaining market leadership. This project aims to build a Real-Time Passenger Insights Platform that aggregates and processes data from multiple sources, such as booking systems, in-flight entertainment, customer feedback, and social media platforms. The platform will leverage technologies like Apache Kafka for event streaming, Spark for real-time analytics, Airflow for workflow automation, and Databricks for big data processing. The solution will enable our airline to generate actionable insights on customer preferences, flight delays, baggage handling, and more, allowing for proactive decision-making. The data mesh architecture will ensure scalability and flexibility, while data observability tools will monitor data quality and lineage, ensuring reliable insights. This platform is expected to lead to improved passenger experiences, reduced operational costs, and increased revenue opportunities.