
Chris Gibson developed and enhanced data reporting and analytics features for the TEAMSchools/teamster repository over seven months, focusing on SQL-based data modeling and integration. He delivered sixteen features that improved roster reporting, enrollment tracking, and dashboard analytics, using SQL, dbt, and Tableau Reporting. His work included expanding cohort visibility, enriching student profiles with new data fields, and standardizing data schemas to streamline downstream reporting. By integrating data from multiple sources and implementing robust ETL processes, Chris enabled more accurate, granular, and actionable insights for stakeholders. The depth of his contributions reflects strong data engineering and cross-system integration skills.

July 2025 monthly summary for TEAMSchools/teamster: Delivered two key data/Reporting enhancements across roster and KFWD FLC reporting, improving data completeness, reliability, and decision support. Roster enhancements enrich LEP status and expand contact data (mobile, current email, primary phone) sourced from KTC, enabling richer member profiles and more effective outreach. KFWD FLC reporting now includes as1_complete and bm_complete indicators derived from the cn subquery with default 0, improving status visibility and preventing null-related errors. These changes strengthen governance, reduce manual data stitching, and accelerate data-driven decisions.
July 2025 monthly summary for TEAMSchools/teamster: Delivered two key data/Reporting enhancements across roster and KFWD FLC reporting, improving data completeness, reliability, and decision support. Roster enhancements enrich LEP status and expand contact data (mobile, current email, primary phone) sourced from KTC, enabling richer member profiles and more effective outreach. KFWD FLC reporting now includes as1_complete and bm_complete indicators derived from the cn subquery with default 0, improving status visibility and preventing null-related errors. These changes strengthen governance, reduce manual data stitching, and accelerate data-driven decisions.
June 2025 monthly summary for TEAMSchools/teamster. This period focused on expanding reporting scope to improve visibility into 7th-grade cohorts and SAT performance, while maintaining data accuracy and performance.
June 2025 monthly summary for TEAMSchools/teamster. This period focused on expanding reporting scope to improve visibility into 7th-grade cohorts and SAT performance, while maintaining data accuracy and performance.
Monthly summary for 2025-05: Delivered three key data features for TEAMSchools/teamster, enhancing analytics capabilities and reporting. No explicit bug fixes documented this period. Result: richer dashboards, deeper roster insights, and improved enrollment profiling enabling data-driven decisions for stakeholders.
Monthly summary for 2025-05: Delivered three key data features for TEAMSchools/teamster, enhancing analytics capabilities and reporting. No explicit bug fixes documented this period. Result: richer dashboards, deeper roster insights, and improved enrollment profiling enabling data-driven decisions for stakeholders.
Monthly performance summary for 2025-04 focused on TEAMSchools/teamster feature delivery and reporting enhancements.
Monthly performance summary for 2025-04 focused on TEAMSchools/teamster feature delivery and reporting enhancements.
February 2025 monthly summary for TEAMSchools/teamster focusing on reporting enhancements and data modeling improvements to support EOF tracking, admissions/pathways insights, and BGP data handling.
February 2025 monthly summary for TEAMSchools/teamster focusing on reporting enhancements and data modeling improvements to support EOF tracking, admissions/pathways insights, and BGP data handling.
January 2025 — Delivered three core features for TEAMSchools/teamster with measurable business impact: School Visit Tracking and Reporting, Dashboard Opt-Out Status Fields, and Max ECC Accepted Graduation Rate Metric. Implemented data model changes, CTE-based aggregations, and dashboard integrations to enable robust reporting, targeted communications, and deeper insights into outcomes for accepted students. Also fixed critical issues in school visit reporting to ensure accurate counts reflected in dashboards. These changes enable data-driven engagement, improved data visibility, and better decision-making across operations and analytics.
January 2025 — Delivered three core features for TEAMSchools/teamster with measurable business impact: School Visit Tracking and Reporting, Dashboard Opt-Out Status Fields, and Max ECC Accepted Graduation Rate Metric. Implemented data model changes, CTE-based aggregations, and dashboard integrations to enable robust reporting, targeted communications, and deeper insights into outcomes for accepted students. Also fixed critical issues in school visit reporting to ensure accurate counts reflected in dashboards. These changes enable data-driven engagement, improved data visibility, and better decision-making across operations and analytics.
November 2024: TEAMSchools/teamster delivered roster reporting enhancements and data schema standardization, with targeted bug fixes to improve data reliability and downstream reporting. Key features added enrollment details to roster reports (enrollment name, status, and current school) and standardized field names in the SQL model to ensure cleaner, more maintainable reporting. Minor fixes addressed field name inconsistencies to improve data mapping accuracy. The work enhances visibility into enrollment movements and school-level analytics, enabling faster, more accurate business decisions. Technologies demonstrated include SQL data modeling, schema standardization, and disciplined version control with Git.
November 2024: TEAMSchools/teamster delivered roster reporting enhancements and data schema standardization, with targeted bug fixes to improve data reliability and downstream reporting. Key features added enrollment details to roster reports (enrollment name, status, and current school) and standardized field names in the SQL model to ensure cleaner, more maintainable reporting. Minor fixes addressed field name inconsistencies to improve data mapping accuracy. The work enhances visibility into enrollment movements and school-level analytics, enabling faster, more accurate business decisions. Technologies demonstrated include SQL data modeling, schema standardization, and disciplined version control with Git.
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