Real-Time Data Pipeline for Enhanced Customer Experience in Cruise & Marine Tourism

As a leading enterprise in the Cruise & Marine Tourism industry, we are committed to delivering exceptional experiences to our customers. To achieve this, we need a robust real-time data pipeline that can aggregate and process data from various sources including customer feedback, onboard services, and operational metrics. This project will focus on building a scalable and efficient data architecture leveraging technologies such as Apache Kafka for event streaming, Spark for real-time processing, and Snowflake for data warehousing. By integrating these technologies, we aim to achieve data observability and create a unified data mesh that supports both operational analytics and machine learning models through MLOps. The insights generated will enable us to personalize customer interactions, optimize resource allocation, and enhance operational efficiency. The successful implementation of this project will directly contribute to increased customer satisfaction and retention, setting a new standard in the cruise experience.