Automated Student Performance Tracking Pipeline

Design a Laravel-based data pipeline that automatically aggregates student performance metrics from multiple source systems (LMS, gradebooks, assessment platforms). Create a modular ETL process that can: 1) Ingest data from REST APIs and CSV files, 2) Normalize and clean disparate data formats, 3) Generate real-time performance dashboards with predictive analytics using machine learning models. Include robust error handling, logging mechanisms, and support for GDPR student data protection requirements.