Real-Time Data Pipeline Architecture for Enhanced Customer Insights

Our company, a leader in the Home Improvement industry, seeks to transform its data systems to provide actionable customer insights in real-time. We require an advanced data pipeline that integrates various data sources, leveraging Apache Kafka and Spark for event streaming and batch processing, respectively. The solution should include Airflow for orchestrating workflows, dbt for data transformation, and Snowflake or BigQuery for a scalable data warehouse solution. The goal is to develop a data mesh architecture that ensures data observability and supports MLOps for predictive analytics. This system will empower our marketing and sales teams with immediate and actionable customer insights, boosting our ability to tailor services and amplify customer engagement. The outcome is expected to be a robust infrastructure that can handle high-volume data efficiently, leading to improved customer retention and competitive positioning in the market.