Implementing a Real-Time Data Mesh for Adventure & Outdoor Tourism Insights

In the rapidly evolving adventure and outdoor tourism industry, understanding customer behavior and preferences in real-time is crucial for maintaining a competitive edge. Our scale-up company specializes in providing unique outdoor experiences and is seeking to leverage data to optimize our offerings. We aim to implement a data mesh architecture using cutting-edge technologies such as Apache Kafka for event streaming and Snowflake for data warehousing. The project involves setting up a robust data pipeline that integrates with our existing systems, enabling real-time analytics and insights. The project will also incorporate MLOps practices to ensure that our machine learning models are seamlessly integrated and deliver insights in real-time. By utilizing tools like Airflow for workflow management and dbt for data transformation, we aim to create an infrastructure that scales with our business needs. The ideal candidate will have experience in designing and implementing data architectures and be proficient in tools like Spark and Databricks. Collaboration with our in-house data science team to ensure the developed system aligns with business goals is essential.