Real-Time Data Pipeline for Event Insights and Analytics

As a burgeoning startup in the event planning industry, we are keen on revolutionizing how event data is captured and utilized. We need a robust data engineering solution that will enable our platform to process and analyze event data in real time. The project's objective is to construct a seamless data pipeline that ingests data from multiple sources, processes it using Spark, and visualizes insights for our team and clients. This pipeline should be scalable and maintainable, leveraging technologies such as Apache Kafka for event streaming, Airflow for workflow orchestration, and dbt for data transformations. The data will be stored in a cloud-based warehouse like Snowflake or BigQuery to ensure easy access and analysis. By integrating MLOps practices, we aim to automate and streamline the deployment of machine learning models into production, enhancing our predictive capabilities. This project is critical to improve our decision-making processes and enhance the overall customer experience.