Real-Time Influencer Engagement Analytics Platform Development

As a startup in the Social Media & Influencer industry, we aim to revolutionize how brands engage with influencer marketing by offering real-time analytics that enable quicker and more informed decision-making. The project involves developing a data engineering solution that can process and analyze large volumes of engagement data from multiple social media platforms. The successful execution of this project will require expertise in setting up and managing a data pipeline using technologies like Apache Kafka for event streaming, Spark for large-scale data processing, and Snowflake or BigQuery for data warehousing. We envision a system where data is collected in real-time, processed, and then visualized in an interactive dashboard, providing brands with instant access to metrics like reach, engagement rate, and ROI. The solution should be scalable and flexible, allowing for the integration of new data sources as our client base expands. Additionally, the implementation of data observability practices will be essential to ensure the accuracy and reliability of the analytics provided. Key deliverables include a fully operational data pipeline, a dynamic dashboard for real-time insights, and comprehensive documentation for internal teams to manage and scale the system.