Real-Time Travel Data Engineering Platform for Enhanced Customer Insights

Our enterprise travel agency seeks to revolutionize its data infrastructure to harness real-time customer insights, facilitating improved travel experiences and strategic business decisions. The project involves building a robust data engineering platform that integrates seamlessly with existing systems, utilizing Apache Kafka for event streaming, Spark for large-scale data processing, and Airflow for orchestrating complex data workflows. By adopting a data mesh approach, the platform will decentralize data ownership, empowering individual teams to manage their data products efficiently. Additionally, tools like dbt and Snowflake will be employed for efficient data transformations and storage, while Databricks will support advanced analytics and machine learning operations (MLOps). The primary goal is to enhance data observability, ensuring data quality and reliability. Through this platform, we aim to provide real-time analytics, enabling us to identify emerging travel trends, customize marketing campaigns, and optimize customer journeys. With the increasing demand for personalized travel experiences and competitive pressure, this platform is crucial for maintaining market relevance and customer satisfaction.