Real-time Influencer Impact Analysis Platform

As a prominent enterprise in the Social Media & Influencer industry, we are seeking a comprehensive data engineering solution to address the growing need for real-time insights into influencer campaign performance. The primary objective is to create a data platform that aggregates and processes high-velocity data streams from multiple social media channels, influencers' activities, and audience interactions. By utilizing technologies such as Apache Kafka, Spark, and Airflow, the solution will enable seamless data integration and real-time analytics. Additionally, the platform will employ Snowflake and BigQuery for scalable data storage and advanced querying capabilities. With the integration of MLOps and data observability tools, such as Databricks and dbt, the project aims to ensure model reliability and data accuracy. The ultimate goal is to provide our marketing teams with actionable insights that enhance influencer partnerships, optimize budget allocations, and improve overall campaign ROI. This solution is critical for maintaining competitive advantage in a dynamic market that increasingly relies on data-driven marketing strategies.