
Developed and delivered PALS assessment data integration within the edanalytics/earthmover_edfi_bundles repository, enabling standardized processing and reporting of Phonological Awareness Literacy Screening results. The work focused on mapping PALS data to the Ed-Fi data model, establishing a unified foundation for analytics and improving reporting accuracy across the Ed-Fi ecosystem. Leveraged data engineering and ETL skills to create configuration files, sample data, and reporting templates using CSV and YAML formats. This integration supports analytics dashboards and sets a scalable pattern for future assessment data onboarding, resulting in faster time-to-insight for student outcomes and streamlined data model alignment for ongoing enhancements.
Concise monthly summary: In Oct 2025, delivered PALS assessment data integration with Ed-Fi data model in edanalytics/earthmover_edfi_bundles, enabling standardized processing and reporting of PALS results. This work establishes a unified data foundation for PALS analytics and improves reporting accuracy across the Ed-Fi data ecosystem. Major bugs fixed: none reported this month. Technologies/skills demonstrated include Ed-Fi data model mapping, configuration management, sample data/template provisioning, and Git-based version control. Overall impact: faster time-to-insight for student outcome analytics and a scalable pattern for integrating additional assessments.
Concise monthly summary: In Oct 2025, delivered PALS assessment data integration with Ed-Fi data model in edanalytics/earthmover_edfi_bundles, enabling standardized processing and reporting of PALS results. This work establishes a unified data foundation for PALS analytics and improves reporting accuracy across the Ed-Fi data ecosystem. Major bugs fixed: none reported this month. Technologies/skills demonstrated include Ed-Fi data model mapping, configuration management, sample data/template provisioning, and Git-based version control. Overall impact: faster time-to-insight for student outcome analytics and a scalable pattern for integrating additional assessments.

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