Real-Time Analytics and Streaming Data Pipeline for Creator Economy Platform

As a leading enterprise in the Creator Economy, we are seeking to overhaul our data architecture to better cater to the rapidly evolving needs of content creators and consumers. Our goal is to build a sophisticated real-time data pipeline that leverages Apache Kafka for event streaming, BigQuery for large-scale data analytics, and Airflow for orchestrating workflows. The project will focus on implementing a data mesh model to decentralize data ownership and improve data quality and accessibility across teams. With event-driven architecture, we aim to provide real-time insights into user engagement, content performance, and monetization opportunities, driving more informed decision-making across our platform. Additionally, the incorporation of MLOps practices will allow for seamless integration of machine learning models to further personalize user experiences. This initiative will significantly reduce data latency, increase data observability, and support our strategic growth objectives in the Creator Economy.