Real-Time Data Pipeline Optimization for Enhanced Funeral Service Management

In the funeral and cemetery services industry, timely and efficient service delivery is crucial to meet the sensitive needs of our clients. Our startup is looking to implement a robust data engineering solution that enhances our operational capabilities. We aim to develop a real-time data pipeline using Apache Kafka for event streaming and Apache Airflow for workflow orchestration. By integrating various data sources such as customer inquiries, service scheduling, inventory management, and staff allocation, we can gain timely insights and improve our service offerings. The project involves setting up a data mesh architecture to decentralize data ownership, providing each team with the autonomy to manage their data. We will leverage Snowflake for data storage and BigQuery for analytics to enable real-time reporting. The selected freelancer will also ensure data observability using tools like Databricks for monitoring data flow and performance. This solution will support our goal of delivering personalized funeral services efficiently, ultimately enhancing customer satisfaction.