Real-Time Data Integration and Analytics for Event Optimizations

As a scale-up in the competitive Catering & Events industry, our company is striving to enhance operational efficiency and improve customer satisfaction through data-driven decision-making. We are seeking a skilled data engineer to develop a real-time data integration and analytics solution. The project will involve designing a robust data pipeline using Apache Kafka for real-time data capture from various event-related sources. Spark will be employed to process and analyze streaming data, offering up-to-the-minute insights to our event planners and catering managers. Additionally, Snowflake or BigQuery will serve as our data warehousing solutions, providing a scalable environment to handle large datasets. The platform should integrate with our existing systems and enable data observability to monitor data quality and lineage. Tools like Apache Airflow will orchestrate workflows, ensuring seamless data management and transformation processes. The end solution is expected to enhance our ability to make real-time decisions, optimize resource allocation, and improve customer experiences at events. By focusing on real-time analytics, we aim to stay ahead in a competitive market, offering tailored services that meet client expectations.