Automated Student Performance Analytics Dashboard Pipeline

Design a type-safe TypeScript data pipeline that aggregates student performance metrics from multiple learning management systems (Canvas, Blackboard, Moodle). Create a robust ETL process using Deno that can handle heterogeneous data sources, normalize grade schemas, calculate complex performance indicators like learning velocity and engagement scores, and generate comprehensive visualization-ready datasets. Implement strong typing for each data transformation stage and include error handling for incomplete or inconsistent student records.