Real-Time Data Pipeline for Personalized Travel Experiences

Our startup is focused on revolutionizing the Travel & Tourism sector through personalized travel experiences. To achieve this, we aim to develop a real-time data pipeline capable of processing and analyzing customer data efficiently. The core objective is to offer tailored travel recommendations based on user preferences and behavior. This involves integrating various data sources, including booking platforms, travel reviews, and social media insights, into a unified system. By utilizing tools like Apache Kafka for event streaming and Spark for data processing, we can ensure that our system delivers timely and relevant recommendations. Additionally, implementing data observability with Airflow and dbt will allow us to maintain data quality and pipeline performance. This initiative not only aims to deepen customer engagement but also to drive revenue growth by enhancing customer satisfaction. The project is critical, as failing to deliver personalized experiences could result in lost market share to competitors who are already leveraging similar technologies.