Real-time Data Pipeline Optimization for Personalized Travel Experiences

As a fast-growing company in the travel technology sector, we're committed to transforming how travelers experience their journeys. We are focused on optimizing our data pipeline to support real-time analytics and personalized travel recommendations. The project involves enhancing our current data architecture using technologies like Apache Kafka, Spark, and Airflow to process and analyze large volumes of data efficiently. The successful freelancer will work on implementing a data mesh strategy to decentralize data ownership, employ data observability tools to ensure data quality and reliability, and integrate MLOps for model deployment and monitoring. The project's deliverables include a robust and scalable data pipeline architecture, real-time analytics capabilities, and seamless integration of personalized recommendations into our travel platform, ultimately enhancing user engagement and satisfaction.