Real-Time Data Pipeline Implementation for Enhanced Content Distribution and Viewer Insights

With the ever-evolving landscape of the film and television industry, there is a critical need to adapt to real-time data-driven strategies to maintain a competitive edge. We are looking to implement a state-of-the-art data engineering solution that leverages technologies such as Apache Kafka, Spark, and Snowflake. The goal is to build a scalable and efficient data pipeline that processes large volumes of data from various sources in real-time. This will enable us to gain deeper insights into viewer behaviors and preferences, optimize content distribution, and personalize user experiences. The project involves designing and deploying a data mesh architecture to ensure data availability and observability across departments. Key deliverables include a reliable event streaming infrastructure, a robust data processing framework, and comprehensive reporting dashboards. The successful implementation of this project will provide actionable insights for content strategy, advertising, and viewer retention, ultimately driving revenue growth.