Real-Time Analytics Pipeline for Enhanced Audience Engagement

We are a dynamic media startup focused on delivering tailored content to our growing audience. To achieve this, we need a sophisticated data engineering solution that can handle real-time analytics. This project involves designing and implementing a data pipeline that ingests user interaction data, processes it with minimal latency, and delivers insights to our content management systems. The goal is to enhance audience engagement by adapting our content strategies based on real-time data. We require the use of technologies such as Apache Kafka for event streaming, Spark for data processing, and Snowflake or BigQuery for data warehousing. Additionally, we want to implement data observability to ensure data quality and reliability. By the end of the project, we aim to have a seamless system that supports our editors and content creators in making informed, data-driven decisions.