Laravel Automated Student Performance Analytics Pipeline

Design a comprehensive Laravel-based data pipeline that automatically aggregates student performance metrics from multiple learning management system sources, including Canvas, Moodle, and custom databases. Create an automated ETL (Extract, Transform, Load) process using Laravel Eloquent and Queue workers that can: 1) Scrape performance data hourly, 2) Normalize disparate data schemas, 3) Calculate complex performance indicators like learning trajectory, engagement score, and predictive risk assessment. Implement robust error handling, generate automated PDF reports using DomPDF, and create a dashboard that provides real-time visualizations. Include mechanisms for secure data encryption, GDPR compliance, and scalable microservice architecture that can handle 10,000+ student records without performance degradation.