Real-Time Data Pipeline for Smart Gardening Insights

Our startup, focused on the Home & Garden industry, aims to revolutionize the way people interact with their gardens by offering personalized insights and solutions. We need a data engineering expert to design and implement a real-time data pipeline that integrates multiple data sources, including customer feedback, purchase history, and external gardening trends. The project involves setting up an event streaming system using Apache Kafka and a processing layer with Spark to generate actionable insights in real-time. Additionally, we require the use of data mesh architecture to ensure flexibility and scalability as our data needs grow. The pipeline should be monitored and maintained using data observability tools to ensure continuous flow and quality. We also aim for seamless integration with our existing database solutions like Snowflake or BigQuery to store and analyze the processed data. This solution will empower our marketing and product development teams to make data-driven decisions, ultimately enhancing customer satisfaction and retention.