Real-time Data Pipeline Implementation for Smart Device Analytics

As a growing startup in the smart home sector, we face the challenge of efficiently processing and analyzing vast amounts of telemetry data from our devices in real-time. Our objective is to build a scalable data pipeline that supports real-time analytics, enhancing device performance monitoring and customer experience. We are looking to implement a solution using Apache Kafka for event streaming, Spark for processing, and Airflow for orchestration. Additionally, data should be stored in Snowflake for subsequent analysis and reporting, with dbt used for data transformation. This setup aims to provide our product development and customer support teams with timely insights, enabling proactive decision-making. The project is critical for maintaining our competitive edge, enhancing product development cycles, and ensuring customer satisfaction. We envision a project timeline of 4-6 weeks with an urgency level of medium to high, as rapid implementation is vital for our upcoming product launch.