TEAMSchools/teamster
Nov 2024 – Nov 2025
13 Months active
Languages Used
SQLYAMLPythonJinjaMarkdown
Technical Skills
Data EngineeringData ModelingData WarehousingDatabase DesignETLSQL
Gaby Rangel
PROFILE
Gaby Rangel
Gregory Rangel engineered robust data models and analytics pipelines for the TEAMSchools/teamster repository, focusing on scalable reporting, data quality, and business intelligence. He designed and refactored SQL and dbt-based ETL workflows to support evolving academic, enrollment, and assessment requirements, integrating sources like Google Sheets and Tableau for end-to-end visibility. His work included schema evolution, YAML-driven configuration, and modular SQL development, enabling granular, multi-level aggregation and reliable CI/CD deployments. By addressing data governance, deduplication, and performance, Gregory delivered maintainable solutions that improved reporting accuracy and operational insight. His technical depth spanned Python, SQL, and configuration management throughout the project.
Overall Statistics
Feature vs Bugs
69%Features
Repository Contributions
1,393Total
Bugs
240
Commits
1,393
Features
533
Lines of code
82,768
Activity Months13
Your Network
13 peopleSame Organization
@kippteamandfamily.org4
Work History
November 2025
3 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for TEAMSchools/teamster: analytics enhancements for KIPP FWD goals and college readiness reporting delivered. Strengthened data infrastructure and reporting: updated Tableau data model and dashboards; expanded staging to include schoolid; refactored college assessment SQL to support new goal types, region and school-level metrics, and revised scoring; introduced granularity_level across SQL models to enable multi-level aggregation. Result: more granular, accurate, actionable insights across regions and schools; faster, repeatable reporting; improved maintainability.
3 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for TEAMSchools/teamster: analytics enhancements for KIPP FWD goals and college readiness reporting delivered. Strengthened data infrastructure and reporting: updated Tableau data model and dashboards; expanded staging to include schoolid; refactored college assessment SQL to support new goal types, region and school-level metrics, and revised scoring; introduced granularity_level across SQL models to enable multi-level aggregation. Result: more granular, accurate, actionable insights across regions and schools; faster, repeatable reporting; improved maintainability.
November 2025
October 2025
112 Commits • 41 Features
Oct 1, 2025October 2025 monthly summary for TEAMSchools/teamster: Delivered broad data and catalog improvements, strengthened data integrity, and enhanced reporting and deployment practices to drive actionable insights and scalable operations. Focused on business value through data migrations, enrollment analytics, catalog expansion, and maintainable CI/CD/configuration updates.
October 2025
112 Commits • 41 Features
Oct 1, 2025October 2025 monthly summary for TEAMSchools/teamster: Delivered broad data and catalog improvements, strengthened data integrity, and enhanced reporting and deployment practices to drive actionable insights and scalable operations. Focused on business value through data migrations, enrollment analytics, catalog expansion, and maintainable CI/CD/configuration updates.
September 2025
101 Commits • 38 Features
Sep 1, 2025Month: 2025-09 Summary: In September, the TEAMSchools/teamster repository delivered a broad set of business-focused features and critical fixes that improve batch processing, reporting capabilities, data quality, and CI/CD reliability. Key outcomes include scalable data processing with Magoosh filter integration, centralized superscore logic with a fast CTE variant, and a refreshed reporting stack with a new view and goals, plus alt/custom school level support and updates to reporting views 2/3. The effort also strengthened data governance by removing legacy Paterson data sources and enhancing data handling, dedup, labeling, and configurability. CI/CD configurations were updated to improve downstream pipelines and reduce build-time friction. These changes collectively enable faster, more reliable insights and easier future evolution of reporting and data pipelines.
101 Commits • 38 Features
Sep 1, 2025Month: 2025-09 Summary: In September, the TEAMSchools/teamster repository delivered a broad set of business-focused features and critical fixes that improve batch processing, reporting capabilities, data quality, and CI/CD reliability. Key outcomes include scalable data processing with Magoosh filter integration, centralized superscore logic with a fast CTE variant, and a refreshed reporting stack with a new view and goals, plus alt/custom school level support and updates to reporting views 2/3. The effort also strengthened data governance by removing legacy Paterson data sources and enhancing data handling, dedup, labeling, and configurability. CI/CD configurations were updated to improve downstream pipelines and reduce build-time friction. These changes collectively enable faster, more reliable insights and easier future evolution of reporting and data pipelines.
September 2025
August 2025
160 Commits • 55 Features
Aug 1, 2025August 2025 monthly summary for TEAMSchools/teamster focused on stabilizing upstream alignment, expanding analytics capabilities, and delivering resilient reporting. Key features delivered include: (1) Codebase synchronization with main: merged main/trunk updates into batch code and established baseline trunk sync, reducing upstream merge risk. (2) Exception handling cleanup: simplified error paths, removed redundant exception joins, and standardized error handling for reliability. (3) Refactor and field/flag changes: renamed fields, refactored student_category_course flags, and moved is_current_week upstream to improve consistency. (4) PM and reporting enhancements: PM Reporting View – First Pass Refactor; New PM View; Start/End Date handling; Month rounding normalization; DIBELS reporting view and participation roster; Supporting data-model and UI improvements for planning and transparency. (5) Data modeling and schema evolution: added base table for college assessments, new int staging table for benchmark summaries, expanded fields, and surrogate key refactor to simplify joins and improve data integrity. (6) Cloud integration and configuration: cloud support and YAML configuration updates to enable scalable deployments. Major testing and maintenance work supported release quality (EOQ tests, test stability tweaks, trunk/build infra updates).
August 2025
160 Commits • 55 Features
Aug 1, 2025August 2025 monthly summary for TEAMSchools/teamster focused on stabilizing upstream alignment, expanding analytics capabilities, and delivering resilient reporting. Key features delivered include: (1) Codebase synchronization with main: merged main/trunk updates into batch code and established baseline trunk sync, reducing upstream merge risk. (2) Exception handling cleanup: simplified error paths, removed redundant exception joins, and standardized error handling for reliability. (3) Refactor and field/flag changes: renamed fields, refactored student_category_course flags, and moved is_current_week upstream to improve consistency. (4) PM and reporting enhancements: PM Reporting View – First Pass Refactor; New PM View; Start/End Date handling; Month rounding normalization; DIBELS reporting view and participation roster; Supporting data-model and UI improvements for planning and transparency. (5) Data modeling and schema evolution: added base table for college assessments, new int staging table for benchmark summaries, expanded fields, and surrogate key refactor to simplify joins and improve data integrity. (6) Cloud integration and configuration: cloud support and YAML configuration updates to enable scalable deployments. Major testing and maintenance work supported release quality (EOQ tests, test stability tweaks, trunk/build infra updates).
July 2025
177 Commits • 58 Features
Jul 1, 2025July 2025 focused on delivering PM-oriented configuration and analytics features, stabilizing core infrastructure, and improving data quality and deployment readiness. The work enhanced business visibility (PM goals, GPA views, and reporting), strengthened data integrity through upstream migrations and cleanup, and reduced deployment risk via environment updates and trunk stabilization.
177 Commits • 58 Features
Jul 1, 2025July 2025 focused on delivering PM-oriented configuration and analytics features, stabilizing core infrastructure, and improving data quality and deployment readiness. The work enhanced business visibility (PM goals, GPA views, and reporting), strengthened data integrity through upstream migrations and cleanup, and reduced deployment risk via environment updates and trunk stabilization.
July 2025
June 2025
154 Commits • 73 Features
Jun 1, 2025June 2025 monthly summary for TEAMSchools/teamster highlights: focused on data model improvements, term-based analytics, and reporting enhancements, while stabilizing the trunk/build pipeline to improve release reliability and business value.
June 2025
154 Commits • 73 Features
Jun 1, 2025June 2025 monthly summary for TEAMSchools/teamster highlights: focused on data model improvements, term-based analytics, and reporting enhancements, while stabilizing the trunk/build pipeline to improve release reliability and business value.
May 2025
128 Commits • 50 Features
May 1, 2025May 2025 monthly summary for TEAMSchools/teamster focused on stabilizing CI/CD, enriching data model governance, and expanding reporting capabilities to improve business outcomes and data fidelity. Key work spanned CI/YAML build stabilization, schema evolution for academic year handling, data extraction enhancements, and a broad run of reporting and FAFSA-related improvements. This period delivered concrete business value: more reliable automated builds, richer student data models, and deeper, year-aware insights in BI views. Key features delivered: - AP code reference table and studenttestuid linkage: added AP code mapping and extended reference tables to link studenttestuid for improved data integrity (commits 46a6f4ef39427cec5dafb4f704ad5120225f9dd3; c7fef0e60c448683bcef990710699727df7c545e). - Prelim/schema and academic year handling enhancements: introduced new fields, refined academic year handling to current year, and updated prelim logic for current-year alignment (commits 6ed6740ac5c9620629a6add6322cab5c3b8085d1; 3679837ae05d1320ebde8558f853f2cad08760b1; 1bc101b452f733b628554e8faca5d64ee571b74c). - AP/CollegeBoard tables and reporting views updates: refreshed data structures and reporting layers to reflect changes across AP data and reporting pipelines (commit 08fb3a0a1c4d7d0df1a794eb270edcb12c685a1c). - Data model and GPA/academic-year tracking: rolled out new data model with grades and IDs, added year-based GPA tracking, and implemented academic-year tagging and sums of earned credits (commits f16966094b1e5f93ce5acafa4fdeb62339135902; 93251735a89c3ad991c2611e251c0bcf9b2ced67; bc1b87ff53ad98e0c5dff74909e0c1116a814f9d; 57350af504c59f2a0559569f21a6403d57c9d297). - Credits and reporting improvements: enhanced credits calculation with CTE-based approaches and updated reporting views to support year-aware analytics (commits a3b9cd7a6bd6ece1be7221362f22287b74985d9d; 6f57a09bfb523adac797c8d53bf262a747d9162f; 0c82d318e72ecbc701cbfb660c9a75a17a43573a). - FAFSA automation and checks: introduced FAFSA auto-communication workflow and expanded FAFSA checks with academic-year and grade-level filters; added related tests and mismatch warnings (commits 5c8bc51587c153c60070e61e587e0311d38ffb34; 7a2c2f351ee4d90ee35736326a78bf908e778555; 3ca760c54beede6ff47b8b7e7de1064b91ac775b; 957d38a3bf12b08148f5cb688e69eb5b13980def; f38a5930919cefcc68ea708c85283036d6ddbdd3). - NJ auto-communication and resilience fixes: integrated NJ autocomm and addressed batch scheduling for Wednesday, improving reliability of batch jobs (commits d113892f82dfdaa807c8f39df9de13d838983102; 9b291aff84575a87a360404237faf470a27d4cd9). Major bugs fixed: - CI/YAML build/configuration fixes that enabled automated builds and reduced pipeline failures (multiple commits in the CI area). - NJ prelim integration adjustments after PR 2560 merge to stabilize downstream flows (68b5a5acc03e51947178d6b97a9511e24dd8b2c5). - Core data pipeline and reporting fixes: join logic, data extraction cleanups, crosswalk de-duplication, and fixed reporting view rendering (examples include 9178c0cab2e68550dbd7f0160e76df1fef803250; db924ff9c512c8f587eb4673985a5bef5db3e36b; 00c2a1e2a4b1a044c8ffedb98c2c9fc1f9d1e6c6; eee24a24e3c71b6e3ef1ec5c6e58c34e10b9865c). - Term alignment and YAML/environment updates: fixed term alignment, updated YAML, and improved type handling for configuration (commits 4bad3a7aede64bcbba7c4018a773a63b8e5c304a; 08915086c0f75e86a3dbf2818a44d6cb11d41fce; f52b1e519ee08cf4ccd7bbf4052d6607c625f0a5). Overall impact and accomplishments: - Elevated data reliability and BI-readiness, enabling better decision-making for academics and operations. - Reduced deployment risk through CI/CD stabilization and trunk alignment. - Delivered end-to-end improvements from data ingestion and modeling to reporting and stakeholder-facing dashboards, strengthening compliance, analytics, and student-support capabilities. Technologies and skills demonstrated: - SQL: advanced joins, CTEs, dedup, and term/year-based filtering within data pipelines and reporting layers. - YAML-based configuration and typed fields, with emphasis on type validation and environment alignment. - Data modeling: new grades model, ID associations, and academic-year tagging; GPA tracking and credit calculations. - BI/Reporting: refactoring Tableau views, academic-year aware joins, and transfer credits integration. - Quality and automation: data quality corrections, dedup, and FAFSA automation workflows.
128 Commits • 50 Features
May 1, 2025May 2025 monthly summary for TEAMSchools/teamster focused on stabilizing CI/CD, enriching data model governance, and expanding reporting capabilities to improve business outcomes and data fidelity. Key work spanned CI/YAML build stabilization, schema evolution for academic year handling, data extraction enhancements, and a broad run of reporting and FAFSA-related improvements. This period delivered concrete business value: more reliable automated builds, richer student data models, and deeper, year-aware insights in BI views. Key features delivered: - AP code reference table and studenttestuid linkage: added AP code mapping and extended reference tables to link studenttestuid for improved data integrity (commits 46a6f4ef39427cec5dafb4f704ad5120225f9dd3; c7fef0e60c448683bcef990710699727df7c545e). - Prelim/schema and academic year handling enhancements: introduced new fields, refined academic year handling to current year, and updated prelim logic for current-year alignment (commits 6ed6740ac5c9620629a6add6322cab5c3b8085d1; 3679837ae05d1320ebde8558f853f2cad08760b1; 1bc101b452f733b628554e8faca5d64ee571b74c). - AP/CollegeBoard tables and reporting views updates: refreshed data structures and reporting layers to reflect changes across AP data and reporting pipelines (commit 08fb3a0a1c4d7d0df1a794eb270edcb12c685a1c). - Data model and GPA/academic-year tracking: rolled out new data model with grades and IDs, added year-based GPA tracking, and implemented academic-year tagging and sums of earned credits (commits f16966094b1e5f93ce5acafa4fdeb62339135902; 93251735a89c3ad991c2611e251c0bcf9b2ced67; bc1b87ff53ad98e0c5dff74909e0c1116a814f9d; 57350af504c59f2a0559569f21a6403d57c9d297). - Credits and reporting improvements: enhanced credits calculation with CTE-based approaches and updated reporting views to support year-aware analytics (commits a3b9cd7a6bd6ece1be7221362f22287b74985d9d; 6f57a09bfb523adac797c8d53bf262a747d9162f; 0c82d318e72ecbc701cbfb660c9a75a17a43573a). - FAFSA automation and checks: introduced FAFSA auto-communication workflow and expanded FAFSA checks with academic-year and grade-level filters; added related tests and mismatch warnings (commits 5c8bc51587c153c60070e61e587e0311d38ffb34; 7a2c2f351ee4d90ee35736326a78bf908e778555; 3ca760c54beede6ff47b8b7e7de1064b91ac775b; 957d38a3bf12b08148f5cb688e69eb5b13980def; f38a5930919cefcc68ea708c85283036d6ddbdd3). - NJ auto-communication and resilience fixes: integrated NJ autocomm and addressed batch scheduling for Wednesday, improving reliability of batch jobs (commits d113892f82dfdaa807c8f39df9de13d838983102; 9b291aff84575a87a360404237faf470a27d4cd9). Major bugs fixed: - CI/YAML build/configuration fixes that enabled automated builds and reduced pipeline failures (multiple commits in the CI area). - NJ prelim integration adjustments after PR 2560 merge to stabilize downstream flows (68b5a5acc03e51947178d6b97a9511e24dd8b2c5). - Core data pipeline and reporting fixes: join logic, data extraction cleanups, crosswalk de-duplication, and fixed reporting view rendering (examples include 9178c0cab2e68550dbd7f0160e76df1fef803250; db924ff9c512c8f587eb4673985a5bef5db3e36b; 00c2a1e2a4b1a044c8ffedb98c2c9fc1f9d1e6c6; eee24a24e3c71b6e3ef1ec5c6e58c34e10b9865c). - Term alignment and YAML/environment updates: fixed term alignment, updated YAML, and improved type handling for configuration (commits 4bad3a7aede64bcbba7c4018a773a63b8e5c304a; 08915086c0f75e86a3dbf2818a44d6cb11d41fce; f52b1e519ee08cf4ccd7bbf4052d6607c625f0a5). Overall impact and accomplishments: - Elevated data reliability and BI-readiness, enabling better decision-making for academics and operations. - Reduced deployment risk through CI/CD stabilization and trunk alignment. - Delivered end-to-end improvements from data ingestion and modeling to reporting and stakeholder-facing dashboards, strengthening compliance, analytics, and student-support capabilities. Technologies and skills demonstrated: - SQL: advanced joins, CTEs, dedup, and term/year-based filtering within data pipelines and reporting layers. - YAML-based configuration and typed fields, with emphasis on type validation and environment alignment. - Data modeling: new grades model, ID associations, and academic-year tagging; GPA tracking and credit calculations. - BI/Reporting: refactoring Tableau views, academic-year aware joins, and transfer credits integration. - Quality and automation: data quality corrections, dedup, and FAFSA automation workflows.
May 2025
April 2025
104 Commits • 30 Features
Apr 1, 2025April 2025: Delivered foundational data model evolution and analytics capabilities, strengthened CI/CD reliability, advanced scoring analytics with a new CTE, domain-specific data model tweaks for Miami ES, and improved test stability amid data changes and external dependencies. Business value included more accurate month-based analytics, faster pipeline deployments, and more robust reporting across teams.
April 2025
104 Commits • 30 Features
Apr 1, 2025April 2025: Delivered foundational data model evolution and analytics capabilities, strengthened CI/CD reliability, advanced scoring analytics with a new CTE, domain-specific data model tweaks for Miami ES, and improved test stability amid data changes and external dependencies. Business value included more accurate month-based analytics, faster pipeline deployments, and more robust reporting across teams.
March 2025
150 Commits • 60 Features
Mar 1, 2025Month: 2025-03 | TEAMSchools/teamster. Delivered targeted data-model refinements, performance improvements, and reporting enhancements with a strong emphasis on data quality, testing, and business value. The work supports more accurate graduation decisions, faster data access, and reliable dashboards across NJ/MIAMI datasets, along with improved maintainability and auditability.
150 Commits • 60 Features
Mar 1, 2025Month: 2025-03 | TEAMSchools/teamster. Delivered targeted data-model refinements, performance improvements, and reporting enhancements with a strong emphasis on data quality, testing, and business value. The work supports more accurate graduation decisions, faster data access, and reliable dashboards across NJ/MIAMI datasets, along with improved maintainability and auditability.
March 2025
February 2025
160 Commits • 76 Features
Feb 1, 2025February 2025 summary for TEAMSchools/teamster: Delivered a broad set of data-model enhancements, quality improvements, and feature expansions that strengthen analytics, improve data reliability, and scale reporting for business decisions. The work emphasizes robust null handling, modular data structures, view-based architectures, data integration, and performance optimization, all aimed at delivering accurate insights for enrollment, curriculum planning, and student outcomes. Business value is realized through cleaner data lineage, faster queries, and richer data sources for dashboards and governance.
February 2025
160 Commits • 76 Features
Feb 1, 2025February 2025 summary for TEAMSchools/teamster: Delivered a broad set of data-model enhancements, quality improvements, and feature expansions that strengthen analytics, improve data reliability, and scale reporting for business decisions. The work emphasizes robust null handling, modular data structures, view-based architectures, data integration, and performance optimization, all aimed at delivering accurate insights for enrollment, curriculum planning, and student outcomes. Business value is realized through cleaner data lineage, faster queries, and richer data sources for dashboards and governance.
January 2025
64 Commits • 29 Features
Jan 1, 2025January 2025: Delivered end-to-end PSAT89 data ingestion and modeling; expanded translations for report cards and DIBELS; improved data quality and reporting with aggregation fixes and deduplication; enhanced system reliability and maintainability with save improvements, CRDC structure, and trunk housekeeping; advanced analytics with 70% completion/70% grading features and EOQ/MS alignment.
64 Commits • 29 Features
Jan 1, 2025January 2025: Delivered end-to-end PSAT89 data ingestion and modeling; expanded translations for report cards and DIBELS; improved data quality and reporting with aggregation fixes and deduplication; enhanced system reliability and maintainability with save improvements, CRDC structure, and trunk housekeeping; advanced analytics with 70% completion/70% grading features and EOQ/MS alignment.
January 2025
December 2024
69 Commits • 19 Features
Dec 1, 2024December 2024 (2024-12) monthly summary for TEAMSchools/teamster: Delivered foundational data-model improvements, performance optimizations, and governance enhancements across the reporting and grading domains. Implemented materialized views to speed reports, established a scalable Teacher Assignment Framework with tests, enriched School Metadata for analytics, and strengthened data quality and governance through comprehensive deduping, audit improvements, and scope controls. These changes reduce query latency, improve reporting accuracy, and lay groundwork for scalable teacher management and enriched analytics.
December 2024
69 Commits • 19 Features
Dec 1, 2024December 2024 (2024-12) monthly summary for TEAMSchools/teamster: Delivered foundational data-model improvements, performance optimizations, and governance enhancements across the reporting and grading domains. Implemented materialized views to speed reports, established a scalable Teacher Assignment Framework with tests, enriched School Metadata for analytics, and strengthened data quality and governance through comprehensive deduping, audit improvements, and scope controls. These changes reduce query latency, improve reporting accuracy, and lay groundwork for scalable teacher management and enriched analytics.
November 2024
11 Commits • 3 Features
Nov 1, 2024November 2024 monthly summary for TEAMSchools/teamster: Implemented foundational data-model improvements and reporting enhancements to strengthen data accuracy, governance, and business insight. Key work includes a new student credit progress tracking data model in Powerschool dbt with cross-source student_id mapping and HS Distinction Diploma waivers, plus refactored credit calculations using a total_credits CTE and GPA-alignment for more reliable reporting. Tableau reporting was enhanced with the ms_attended metric on historic assessments, improving attendance insights across historical data. Data processing for PM/Benchmark assessments was strengthened: PM now includes all attempts with a new max_score CTE, BM uses the highest attempt, dedup logic and region tagging were refined, and BM/PM results were consolidated via UNION ALL for clearer, distinct result sets. A Gradebook Audit Report window was corrected to start four days prior to quarter-end, improving auditing accuracy around quarter conclusions. Overall, these changes increase data integrity, reporting reliability, and business value for schools, enabling better tracking of credits, attendance, and assessment performance.
11 Commits • 3 Features
Nov 1, 2024November 2024 monthly summary for TEAMSchools/teamster: Implemented foundational data-model improvements and reporting enhancements to strengthen data accuracy, governance, and business insight. Key work includes a new student credit progress tracking data model in Powerschool dbt with cross-source student_id mapping and HS Distinction Diploma waivers, plus refactored credit calculations using a total_credits CTE and GPA-alignment for more reliable reporting. Tableau reporting was enhanced with the ms_attended metric on historic assessments, improving attendance insights across historical data. Data processing for PM/Benchmark assessments was strengthened: PM now includes all attempts with a new max_score CTE, BM uses the highest attempt, dedup logic and region tagging were refined, and BM/PM results were consolidated via UNION ALL for clearer, distinct result sets. A Gradebook Audit Report window was corrected to start four days prior to quarter-end, improving auditing accuracy around quarter conclusions. Overall, these changes increase data integrity, reporting reliability, and business value for schools, enabling better tracking of credits, attendance, and assessment performance.
November 2024
Activity
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Quality Metrics
Correctness84.4%
Maintainability85.2%
Architecture80.0%
Performance77.2%
AI Usage20.2%
Skills & Technologies
Programming Languages
JinjaMarkdownPythonSQLYAML
Technical Skills
Business IntelligenceCode LintingCode OrganizationConfiguration ManagementDBTDagsterData AnalysisData AuditingData EngineeringData ModelingData QualityData TestingData ValidationData WarehousingDatabase
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