edanalytics/earthmover_edfi_bundles
Oct 2025 – Mar 2026
3 Months active
Languages Used
CSVJSONPythonYAMLcsvjsonyamlMarkdown
Technical Skills
Data EngineeringData ModelingData TransformationData ValidationETLEd-Fi Implementation
Bruk
PROFILE
Bruk
Over a three-month period, contributed to edanalytics/earthmover_edfi_bundles by building and enhancing data ingestion pipelines for educational assessments, including KRA, myIGDIs, FastBridge, and Advanced Placement. Developed end-to-end ETL workflows using Python, focusing on data transformation, validation, and error handling to map assessment results into the Ed-Fi data model. Implemented dynamic template generation and pre-processing steps to improve data quality and reporting efficiency. Enhanced governance through comprehensive documentation and sample data, while optimizing data processing logic and template management. Leveraged skills in API integration, JSON generation, and scripting to support automated validation and downstream analytics for education partners.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
4
Lines of code
4,525
Activity Months3
Your Network
10 peopleWork History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for edanalytics/earthmover_edfi_bundles focusing on the Advanced Placement (AP) Assessment Bundle delivery and associated quality improvements.
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for edanalytics/earthmover_edfi_bundles focusing on the Advanced Placement (AP) Assessment Bundle delivery and associated quality improvements.
March 2026
January 2026
2 Commits • 2 Features
Jan 1, 2026January 2026 — End-to-end FastBridge assessment bundles delivered for edanalytics/earthmover_edfi_bundles, enabling robust data transformation, error handling, and Ed-Fi JSON generation for English Early Reading and Math assessments. The work tightens data quality, accelerates reporting, and improves governance with comprehensive templates and sample data.
January 2026
2 Commits • 2 Features
Jan 1, 2026January 2026 — End-to-end FastBridge assessment bundles delivered for edanalytics/earthmover_edfi_bundles, enabling robust data transformation, error handling, and Ed-Fi JSON generation for English Early Reading and Math assessments. The work tightens data quality, accelerates reporting, and improves governance with comprehensive templates and sample data.
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 — Implemented and delivered Ed-Fi assessment data ingestion pipelines for KRA and myIGDIs within edanalytics/earthmover_edfi_bundles. The work provides end-to-end ingestion and mapping to the Ed-Fi data model, enabling automated validation and downstream analytics. The KRA pipeline includes configuration files, templates, and seed data to correctly map student IDs, performance levels, and assessments. MyIGDIs received a pre-processing step for data formatting, resulting in improved data quality and processing performance. Comprehensive documentation and configuration for Earthmover and Lightbeam, plus sample data, support easy ingestion and validation in staging/production. These changes reduce manual data wrangling, accelerate reporting cycles, and improve trust in analytics for education partners.
2 Commits • 1 Features
Oct 1, 2025October 2025 — Implemented and delivered Ed-Fi assessment data ingestion pipelines for KRA and myIGDIs within edanalytics/earthmover_edfi_bundles. The work provides end-to-end ingestion and mapping to the Ed-Fi data model, enabling automated validation and downstream analytics. The KRA pipeline includes configuration files, templates, and seed data to correctly map student IDs, performance levels, and assessments. MyIGDIs received a pre-processing step for data formatting, resulting in improved data quality and processing performance. Comprehensive documentation and configuration for Earthmover and Lightbeam, plus sample data, support easy ingestion and validation in staging/production. These changes reduce manual data wrangling, accelerate reporting cycles, and improve trust in analytics for education partners.
October 2025
Activity
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Quality Metrics
Correctness84.0%
Maintainability80.0%
Architecture84.0%
Performance80.0%
AI Usage32.0%
Skills & Technologies
Programming Languages
CSVJSONMarkdownPythonYAMLcsvjsonyaml
Technical Skills
API integrationData EngineeringData ModelingData TransformationData ValidationETLEd-Fi ImplementationEd-Fi IntegrationJSON generationPython scriptingScriptingdata processingdata transformationdata validationerror handling
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