Real-time Data Pipeline for Enhanced Audience Insights in Film & Television

As a rapidly growing player in the Film & Television industry, we face the challenge of processing vast amounts of viewer data to extract meaningful insights. Our goal is to implement a real-time data pipeline that enhances our content strategy and distribution decisions. We are looking for a data engineering expert to design and implement a scalable pipeline leveraging technologies such as Apache Kafka for event streaming, Spark for data processing, and Airflow for orchestration. The pipeline should integrate with data warehousing solutions like Snowflake or BigQuery to facilitate real-time analytics and reporting. This solution will enable us to understand audience preferences and behaviors in real-time, allowing our creative and marketing teams to adapt quickly to viewer demands. The ability to process and analyze data swiftly is critical for making informed decisions that drive viewership and engagement. The project needs to be completed within 8-12 weeks, with a budget range of $15,000 - $50,000. The urgency is high as we aim to capitalize on current market trends and outpace competitors by delivering tailored content that resonates with our audience.