Real-time Data Pipeline Optimization for Enhanced Guest Experience

As a growing company in hospitality management, we recognize the critical role that data plays in enhancing guest experiences and operational efficiency. We are looking to optimize our current data infrastructure by developing a real-time data pipeline that integrates seamlessly with our existing systems. The project involves setting up an event streaming architecture using Apache Kafka to capture and process data from various touchpoints in real-time. Additionally, we will utilize Apache Spark for processing and analytics, and Airflow for orchestrating data workflows. The implementation of a data mesh will allow decentralized data ownership and management, enhancing data observability and reliability. We are also looking to integrate MLOps for continuous deployment of machine learning models that personalize guest interactions based on real-time data insights. The successful completion of this project will position us to lead in guest-centric hospitality services, driving higher satisfaction and loyalty.