Real-Time Data Pipeline for Enhanced VR Experience Optimization

In the rapidly evolving field of Virtual & Augmented Reality, delivering an optimized user experience is paramount. Our startup is addressing the challenge of enhancing real-time user interactions within our VR platform. We require a robust data pipeline capable of ingesting and processing high-velocity data streams generated by user interactions. The project involves building a scalable data architecture using technologies like Apache Kafka for event streaming, Spark for real-time processing, and Airflow for orchestrating data flows. The integration with Snowflake or BigQuery will facilitate the storage and query of processed data, while dbt will be employed for data transformation and modeling. The goal is to enable real-time analytics that feeds into our machine learning models for experience personalization, ensuring our platform adapts dynamically to user needs. The successful candidate will collaborate closely with our development and data science teams to ensure seamless integration and operational smoothness.