Real-Time Data Pipeline for Personalized Learning Insights

Our startup is focused on revolutionizing how students learn by providing a personalized educational experience. We aim to build a real-time data pipeline that seamlessly integrates with our existing educational technology platform. This project involves designing and implementing a robust data infrastructure using technologies such as Apache Kafka for event streaming, Spark for real-time processing, and Snowflake for data warehousing. The pipeline will process student interaction data, enabling real-time analytics and delivering actionable insights that drive student engagement and personalized learning paths. The solution will also employ Airflow for orchestrating data workflows and dbt for data transformations. Ensuring data quality and observability is critical, and incorporating MLOps practices will facilitate the deployment of machine learning models to enhance recommendations. This initiative is crucial to our value proposition, as it differentiates us from competitors by offering tailored educational experiences that adapt to individual learning needs.