Automated Student Performance Tracking Pipeline

Design a modular data pipeline that can ingest student performance data from multiple learning management systems (Canvas, Blackboard, Moodle) and automatically generate comprehensive analytics dashboards. The solution should handle cross-platform data normalization, handle missing/inconsistent data, and produce real-time visualizations of academic performance trends. Include error handling for different data schema, implement robust logging, and create a scalable architecture that can support institutions with 5,000-50,000 students.