Real-time Data Pipeline for Enhanced Product Performance Monitoring

As a startup in the hardware and electronics industry, we have developed a line of smart home devices that rely heavily on real-time performance data to ensure optimal functionality and enhance user experience. We are experiencing challenges with our current data handling methods, which are not equipped to process the increasing volume of data generated by our devices in real-time. We need a data engineering solution that integrates cutting-edge technologies like Apache Kafka, Spark, and Airflow to create a robust, scalable, and efficient data pipeline. This pipeline should facilitate real-time analytics and provide insights into device performance. Additionally, integrating a data mesh architecture will allow for decentralized access and processing of data across various teams, fostering better collaboration and faster decision-making. The project will also involve setting up data observability to ensure the quality and accuracy of insights. The expected outcome is a significant reduction in downtime, improved product performance, and enhanced customer satisfaction, thus reinforcing our competitive position in the market.