Real-Time Influencer Performance Analytics Pipeline

As a growing startup in the Social Media & Influencer industry, we face the challenge of providing our clients with instantaneous insights into influencer performance. The current time-lag in data processing affects decision-making and campaign effectiveness. We need a data engineering solution that integrates real-time analytics using technologies like Apache Kafka and Spark to stream and process data promptly. The solution should incorporate tools like Airflow for workflow management, dbt for data transformation, and Snowflake for centralized data storage. Additionally, data observability practices will ensure data quality and pipeline reliability. The pipeline's architecture must support scalability as our client base expands. The implementation aims to empower influencers and campaign managers with real-time dashboards showcasing metrics such as engagement rates, audience demographics, and conversion statistics, ultimately enhancing marketing strategies and ROI.