Real-time Data Pipeline Optimization for Mobile App User Engagement

Our company has been experiencing rapid growth in user base across our mobile applications. However, our current data infrastructure is struggling to keep up with the demand for real-time analytics, leading to delayed insights and suboptimal decision-making. We need a robust data engineering solution to enhance our real-time analytics capabilities and ensure seamless, scalable data processing. The project involves building a real-time data pipeline using Apache Kafka for event streaming and Databricks for data processing. We also plan to implement data observability practices to monitor pipeline health, and use Airflow for orchestration to handle complex dependencies. The project will enable us to capture and process user engagement data in real time, thus improving our product offerings and marketing strategies. By optimizing our data infrastructure, we aim to better understand user behavior, predict trends, and tailor our offerings to meet user needs effectively.