TEAMSchools/teamster
Nov 2024 – Oct 2025
12 Months active
Languages Used
SQLYAML
Technical Skills
Data EngineeringData ModelingData WarehousingETLSQLSQL Development
Anthony Walters
PROFILE
Anthony Walters
Alex Walters engineered robust data pipelines, reporting views, and analytics features for the TEAMSchools/teamster repository, focusing on student performance, retention, and operational metrics. Leveraging SQL, dbt, and Tableau, Alex designed and maintained scalable data models, optimized ETL processes, and integrated diverse data sources such as PowerSchool and Salesforce. His work included building weekly and term-based reporting layers, refining graduation and attendance calculations, and enhancing dashboard reliability through schema management and codebase stabilization. By addressing data quality, join logic, and downstream processing, Alex delivered maintainable solutions that improved business intelligence, supported executive decision-making, and enabled reliable, timely insights for stakeholders.
Overall Statistics
Feature vs Bugs
77%Features
Repository Contributions
481Total
Bugs
64
Commits
481
Features
209
Lines of code
17,629
Activity Months12
Your Network
13 peopleSame Organization
@kippteamandfamily.org4
Work History
October 2025
65 Commits • 26 Features
Oct 1, 2025October 2025 monthly review for TEAMSchools/teamster: Delivered a set of data-model, ingestion, analytics, and reporting improvements that tighten data quality, accelerate insights, and enable broader business usage. Highlights include incentives data model enhancements and scaffolding; retention and attrition analytics improvements; Miami data ingestion and calculation logic; bucket views creation and enhancements; and targeted data retrieval and filtering fixes across joins, where clauses, and current-day handling. Collectively, these changes improve dashboard reliability, support more accurate retention trends, and reduce maintenance burden through streamlined scaffolding and view management.
65 Commits • 26 Features
Oct 1, 2025October 2025 monthly review for TEAMSchools/teamster: Delivered a set of data-model, ingestion, analytics, and reporting improvements that tighten data quality, accelerate insights, and enable broader business usage. Highlights include incentives data model enhancements and scaffolding; retention and attrition analytics improvements; Miami data ingestion and calculation logic; bucket views creation and enhancements; and targeted data retrieval and filtering fixes across joins, where clauses, and current-day handling. Collectively, these changes improve dashboard reliability, support more accurate retention trends, and reduce maintenance burden through streamlined scaffolding and view management.
October 2025
September 2025
170 Commits • 61 Features
Sep 1, 2025September 2025 (2025-09) delivered impactful analytics, data quality, and reporting improvements for TEAMSchools/teamster. The work strengthened data accuracy, introduced end-to-end downstream processing, and broadened business-facing dashboards and metrics to enable faster, more reliable decision-making. Key features were shipped across the analytics stack, including a new Dashboard View with topline lookups, graduation-year calculations with fixes to window-based computations, and downstream data flow. The team also expanded metrics coverage with a unified metrics layer and MTSS Tableau view, added a GPA term view, and completed multiple data-model refinements (calculated columns and contract updates) to support accurate reporting and governance. These changes underpin improved business visibility for school leaders, faster time-to-insight, and more reliable student outcome metrics.
September 2025
170 Commits • 61 Features
Sep 1, 2025September 2025 (2025-09) delivered impactful analytics, data quality, and reporting improvements for TEAMSchools/teamster. The work strengthened data accuracy, introduced end-to-end downstream processing, and broadened business-facing dashboards and metrics to enable faster, more reliable decision-making. Key features were shipped across the analytics stack, including a new Dashboard View with topline lookups, graduation-year calculations with fixes to window-based computations, and downstream data flow. The team also expanded metrics coverage with a unified metrics layer and MTSS Tableau view, added a GPA term view, and completed multiple data-model refinements (calculated columns and contract updates) to support accurate reporting and governance. These changes underpin improved business visibility for school leaders, faster time-to-insight, and more reliable student outcome metrics.
August 2025
82 Commits • 39 Features
Aug 1, 2025August 2025 performance summary for TEAMSchools/teamster: Delivered a robust set of data views and reporting scaffolding, advanced data model hygiene, and stabilized the codebase to unlock reliable BI, analytics, and decision-making for enrollment, remediation, and operations.
82 Commits • 39 Features
Aug 1, 2025August 2025 performance summary for TEAMSchools/teamster: Delivered a robust set of data views and reporting scaffolding, advanced data model hygiene, and stabilized the codebase to unlock reliable BI, analytics, and decision-making for enrollment, remediation, and operations.
August 2025
July 2025
21 Commits • 12 Features
Jul 1, 2025July 2025 monthly summary for TEAMSchools/teamster: Delivered a solid foundation and multiple analytics-driven features, with targeted UI improvements and data-model enhancements that enable better decision-making and governance. Key work includes stabilizing the codebase trunk, adding ADA Week View, performing code refactors for maintainability, expanding analytics with retention columns and the enhanced suspension rollup, driving GPA projection capabilities, integrating DLM information into KFWD views, and restoring academic year tracking along with new quality benchmarks. Also fixed critical issues including file type handling, walkthrough flow corrections, and a general bug fix to ensure stability and improved user experience.
July 2025
21 Commits • 12 Features
Jul 1, 2025July 2025 monthly summary for TEAMSchools/teamster: Delivered a solid foundation and multiple analytics-driven features, with targeted UI improvements and data-model enhancements that enable better decision-making and governance. Key work includes stabilizing the codebase trunk, adding ADA Week View, performing code refactors for maintainability, expanding analytics with retention columns and the enhanced suspension rollup, driving GPA projection capabilities, integrating DLM information into KFWD views, and restoring academic year tracking along with new quality benchmarks. Also fixed critical issues including file type handling, walkthrough flow corrections, and a general bug fix to ensure stability and improved user experience.
June 2025
7 Commits • 4 Features
Jun 1, 2025June 2025: Delivered data-platform enhancements across TEAMSchools/teamster, focusing on feature delivery that improves retention decision support, assessment alignment, attendance/topline insights, and roster-pathway enrichment. Business value was realized through improved data accuracy, richer cross-team reporting, and clearer visibility into student outcomes. Demonstrated proficiency in SQL data modeling, view creation, Tableau integration, and metrics-driven reporting that supports executive dashboards and operational decision-making.
7 Commits • 4 Features
Jun 1, 2025June 2025: Delivered data-platform enhancements across TEAMSchools/teamster, focusing on feature delivery that improves retention decision support, assessment alignment, attendance/topline insights, and roster-pathway enrichment. Business value was realized through improved data accuracy, richer cross-team reporting, and clearer visibility into student outcomes. Demonstrated proficiency in SQL data modeling, view creation, Tableau integration, and metrics-driven reporting that supports executive dashboards and operational decision-making.
June 2025
May 2025
24 Commits • 16 Features
May 1, 2025May 2025 performance summary for TEAMSchools/teamster. This period focused on delivering data accuracy improvements, performance optimizations, and expanded reporting capabilities across the core system. Key outcomes include correcting critical data aggregation for academic year joins, advancing processing throughput in the DPS module, refactoring trunk for maintainability, and enriching the illuminate programs dataset with bucket data to support regional insights. A multi-part feature delivery approach (Parts I-III) enabled structured progress on a complex capability, while targeted enhancements to promo integration, FAST/ES queries refinements, and region-limiting improved overall system effectiveness and reliability.
May 2025
24 Commits • 16 Features
May 1, 2025May 2025 performance summary for TEAMSchools/teamster. This period focused on delivering data accuracy improvements, performance optimizations, and expanded reporting capabilities across the core system. Key outcomes include correcting critical data aggregation for academic year joins, advancing processing throughput in the DPS module, refactoring trunk for maintainability, and enriching the illuminate programs dataset with bucket data to support regional insights. A multi-part feature delivery approach (Parts I-III) enabled structured progress on a complex capability, while targeted enhancements to promo integration, FAST/ES queries refinements, and region-limiting improved overall system effectiveness and reliability.
April 2025
26 Commits • 14 Features
Apr 1, 2025April 2025 monthly summary for TEAMSchools/teamster focused on data integrity, performance, and reporting enhancements. Delivered a set of data-layer join optimizations and policy-aligned eligibility updates, expanded RTI/MTSS roster and enrollment workflows, enriched dashboards and reporting capabilities, and a broad stabilization effort addressing critical bugs to reduce production incidents and improve reliability. Demonstrated SQL/data modeling, policy-aware design, dashboard analytics, and maintainability.
26 Commits • 14 Features
Apr 1, 2025April 2025 monthly summary for TEAMSchools/teamster focused on data integrity, performance, and reporting enhancements. Delivered a set of data-layer join optimizations and policy-aligned eligibility updates, expanded RTI/MTSS roster and enrollment workflows, enriched dashboards and reporting capabilities, and a broad stabilization effort addressing critical bugs to reduce production incidents and improve reliability. Demonstrated SQL/data modeling, policy-aware design, dashboard analytics, and maintainability.
April 2025
March 2025
9 Commits • 5 Features
Mar 1, 2025March 2025 monthly summary for TEAMSchools/teamster: Delivered a comprehensive set of reporting and data-quality improvements spanning suspension reporting, graduation/enrollment calculations, diagnostics, data pipelines, and BI dashboards. The work emphasizes business value through more accurate metrics, clearer enrollment states, and richer analytics for leadership and operations.
March 2025
9 Commits • 5 Features
Mar 1, 2025March 2025 monthly summary for TEAMSchools/teamster: Delivered a comprehensive set of reporting and data-quality improvements spanning suspension reporting, graduation/enrollment calculations, diagnostics, data pipelines, and BI dashboards. The work emphasizes business value through more accurate metrics, clearer enrollment states, and richer analytics for leadership and operations.
February 2025
16 Commits • 5 Features
Feb 1, 2025February 2025 performance summary for TEAMSchools/teamster: Delivered a focused set of data product enhancements that improve reporting accuracy, data quality, and cross-system integration. Implemented Miami region promotional status logic to improve On-Track/Off-Track granularity across grade bands; stabilized promo/status dashboards by removing problematic columns, fixing CTE logic, correcting NULL handling, and ensuring zero defaults. Expanded data coverage with new reporting fields (is_exempt_iready, contact_owner_name, is_kippnj_internship) to bolster dashboards and Career Launch surveys. Strengthened data integrity through Salesforce contact ID integration, enabling reliable cross-referencing between student rosters and Salesforce records. Added a 6-year graduation metric surfaced in both intermediate models and the Tableau dashboard for earlier visibility into graduation timelines. Additional cleanup included column naming improvements and DDI dashboard identifier enhancements using staff UPNs and SAM names.
16 Commits • 5 Features
Feb 1, 2025February 2025 performance summary for TEAMSchools/teamster: Delivered a focused set of data product enhancements that improve reporting accuracy, data quality, and cross-system integration. Implemented Miami region promotional status logic to improve On-Track/Off-Track granularity across grade bands; stabilized promo/status dashboards by removing problematic columns, fixing CTE logic, correcting NULL handling, and ensuring zero defaults. Expanded data coverage with new reporting fields (is_exempt_iready, contact_owner_name, is_kippnj_internship) to bolster dashboards and Career Launch surveys. Strengthened data integrity through Salesforce contact ID integration, enabling reliable cross-referencing between student rosters and Salesforce records. Added a 6-year graduation metric surfaced in both intermediate models and the Tableau dashboard for earlier visibility into graduation timelines. Additional cleanup included column naming improvements and DDI dashboard identifier enhancements using staff UPNs and SAM names.
February 2025
January 2025
22 Commits • 12 Features
Jan 1, 2025January 2025: Delivered substantial data-quality and analytics enhancements across the TEAMSchools/teamster project. Implemented GPA data enrichment with Pearson ML field coalescing to improve college-match accuracy, expanded data coverage with Carat views and updated STAR dash source, and advanced pivot and survey capabilities to capture richer insights. Strengthened reporting reliability through a clean income case statement and HS GPA bands, while stabilizing the data pipeline with trunk expansions and maintenance, and addressing data integrity bugs to reduce edge-case errors.
January 2025
22 Commits • 12 Features
Jan 1, 2025January 2025: Delivered substantial data-quality and analytics enhancements across the TEAMSchools/teamster project. Implemented GPA data enrichment with Pearson ML field coalescing to improve college-match accuracy, expanded data coverage with Carat views and updated STAR dash source, and advanced pivot and survey capabilities to capture richer insights. Strengthened reporting reliability through a clean income case statement and HS GPA bands, while stabilizing the data pipeline with trunk expansions and maintenance, and addressing data integrity bugs to reduce edge-case errors.
December 2024
11 Commits • 5 Features
Dec 1, 2024December 2024 monthly summary for TEAMSchools/teamster. Focused on strengthening data quality, reporting capabilities, and business insights through targeted fixes and new metrics across PowerSchool ingestion, student outcomes, and disciplinary reporting. Key features delivered include the 7-year BA graduation rate metric in Tableau with backend is_7yr_ba_grad_int computation; enhanced OKRTS referrals reporting with penalty IDs, attachments, and document-type differentiation; added suspension metrics to Tableau reports (2+ OSS/ISS in an academic year and granular suspension counts); staging model for PowerSchool ingestion unifying s_nj_ren_x from two sources; and a fix to student status flag logic for continuing/completing cohorts with adjustments to the academic year range. Major bugs fixed include correcting the is_continuing_completing flag logic and removing a restrictive filter on pursuing degree type for enrollments to refine criteria for identifying students in specific programs. These changes improve data accuracy for cohort analytics and reduce missed enrollments. Overall impact: These changes deliver more reliable, deeper insights into student outcomes and disciplinary patterns, enable longer-horizon performance analyses, and streamline data ingestion across sources, supporting faster and more informed decision-making. The work reduces manual data curation, improves governance, and ensures dashboards reflect current program definitions and enrollment criteria. Technologies/skills demonstrated: SQL data modeling and staging, ETL processes, data warehouse improvements, Tableau dashboard enhancements, cross-source data unification, cohort analytics, and data governance.
11 Commits • 5 Features
Dec 1, 2024December 2024 monthly summary for TEAMSchools/teamster. Focused on strengthening data quality, reporting capabilities, and business insights through targeted fixes and new metrics across PowerSchool ingestion, student outcomes, and disciplinary reporting. Key features delivered include the 7-year BA graduation rate metric in Tableau with backend is_7yr_ba_grad_int computation; enhanced OKRTS referrals reporting with penalty IDs, attachments, and document-type differentiation; added suspension metrics to Tableau reports (2+ OSS/ISS in an academic year and granular suspension counts); staging model for PowerSchool ingestion unifying s_nj_ren_x from two sources; and a fix to student status flag logic for continuing/completing cohorts with adjustments to the academic year range. Major bugs fixed include correcting the is_continuing_completing flag logic and removing a restrictive filter on pursuing degree type for enrollments to refine criteria for identifying students in specific programs. These changes improve data accuracy for cohort analytics and reduce missed enrollments. Overall impact: These changes deliver more reliable, deeper insights into student outcomes and disciplinary patterns, enable longer-horizon performance analyses, and streamline data ingestion across sources, supporting faster and more informed decision-making. The work reduces manual data curation, improves governance, and ensures dashboards reflect current program definitions and enrollment criteria. Technologies/skills demonstrated: SQL data modeling and staging, ETL processes, data warehouse improvements, Tableau dashboard enhancements, cross-source data unification, cohort analytics, and data governance.
December 2024
November 2024
28 Commits • 10 Features
Nov 1, 2024November 2024 (Month: 2024-11) monthly summary for TEAMSchools/teamster. The focus this month was expanding data capabilities, improving reporting, and stabilizing the codebase to enable scaled growth across student data, promotions, and performance analytics. Key work spanned promo data pipelines, grade/region display, GPA reporting, and infrastructure hygiene. Major deliverables included: promo data handling enhancements with DIBELS integration, MS-grade filtering updates, expanded grades/teams coverage, GPA GSheets view creation, SSDS integration, comprehensive grad calculation enhancements, term/region display improvements, and broad data/view enhancements. Routine trunk/codebase housekeeping also supported maintainability and CI readiness. Overall impact: elevated data reliability and timeliness, richer business insights for promotions and student performance, and a scalable foundation for reporting across grades 5-7, region/term displays, and expanded data sources. Technologies/skills demonstrated: data engineering and ETL design, data coalescing and integrity safeguards, Google Sheets integration, SSDS ingestion, feature flag usage, trunk management, and cross-functional collaboration across teams.
November 2024
28 Commits • 10 Features
Nov 1, 2024November 2024 (Month: 2024-11) monthly summary for TEAMSchools/teamster. The focus this month was expanding data capabilities, improving reporting, and stabilizing the codebase to enable scaled growth across student data, promotions, and performance analytics. Key work spanned promo data pipelines, grade/region display, GPA reporting, and infrastructure hygiene. Major deliverables included: promo data handling enhancements with DIBELS integration, MS-grade filtering updates, expanded grades/teams coverage, GPA GSheets view creation, SSDS integration, comprehensive grad calculation enhancements, term/region display improvements, and broad data/view enhancements. Routine trunk/codebase housekeeping also supported maintainability and CI readiness. Overall impact: elevated data reliability and timeliness, richer business insights for promotions and student performance, and a scalable foundation for reporting across grades 5-7, region/term displays, and expanded data sources. Technologies/skills demonstrated: data engineering and ETL design, data coalescing and integrity safeguards, Google Sheets integration, SSDS ingestion, feature flag usage, trunk management, and cross-functional collaboration across teams.
Activity
Loading activity data...
Quality Metrics
Correctness84.0%
Maintainability84.6%
Architecture79.8%
Performance77.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
SQLYAML
Technical Skills
Business IntelligenceConfiguration ManagementDBTData EngineeringData ModelingData WarehousingDatabase DevelopmentDatabase ManagementDatabase ModelingDatabase Schema DesignDatabase Schema ManagementETLSQLSQL DevelopmentTableau
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline