Real-Time Data Engineering for Enhanced Event Planning Insights

In the competitive event planning industry, the ability to quickly analyze data and derive actionable insights can significantly impact the success of our events and client satisfaction. Our company is experiencing rapid growth, and we recognize the need to upgrade our data infrastructure to keep pace with market demands. This project will focus on developing a real-time data engineering pipeline powered by Apache Kafka for event streaming, Spark for real-time processing, and Snowflake for centralized data storage and analysis. By implementing Airflow and dbt, we will ensure efficient workflow orchestration and transformation processes. Additionally, leveraging MLOps practices will allow us to continuously improve our predictive analytics capabilities, tailoring event strategies to client preferences and event dynamics. The primary goal is to enhance our ability to provide personalized, data-driven event solutions, increasing client retention and acquisition. This project is critical to staying ahead in the fast-paced event planning market, where real-time insights can mean the difference between an average event and an outstanding one.