TEAMSchools/teamster
Dec 2024 – Oct 2025
9 Months active
Languages Used
SQLYAMLPythonMarkdown
Technical Skills
Configuration ManagementData EngineeringData ModelingSQLSQL DevelopmentBigQuery
Cristina Baldor
PROFILE
Cristina Baldor
Over nine months, Chris Baldor engineered robust data models and analytics features for the TEAMSchools/teamster repository, focusing on scalable reporting, data integrity, and operational efficiency. He delivered enhancements to roster management, survey metrics, and leadership reporting, leveraging SQL, dbt, and YAML configuration to streamline ETL pipelines and semantic layer management. Chris refactored reporting logic, improved data granularity, and introduced dynamic year-over-year analysis, supporting business intelligence needs across school operations. His disciplined approach to code formatting, documentation, and configuration management resulted in maintainable, reliable pipelines that reduced technical debt and enabled faster, more accurate decision-making for stakeholders and end users.
Overall Statistics
Feature vs Bugs
77%Features
Repository Contributions
181Total
Bugs
18
Commits
181
Features
59
Lines of code
4,637
Activity Months9
Your Network
13 peopleSame Organization
@kippteamandfamily.org4
Work History
October 2025
19 Commits • 2 Features
Oct 1, 2025October 2025 performance summary for TEAMSchools/teamster: Delivered targeted improvements to two critical reporting areas, reinforcing data accuracy, maintainability, and business insight. Microgoals reporting improvements refactored the SQL model to support nested tags, enabling robust parsing of goal, strand, and bucket data, and corrected microgoal counts to align with goal code/name retrieval. Tableau SmartRecruiters reporting enhancements expanded the rpt_tableau__smartrecruiters model and dashboards with new metrics and dimensions, data quality controls, explicit column sourcing, progression flags, and improved stalled-high-quality logic, plus YAML-driven configuration and formatting improvements. These changes reduce data discrepancies, improve decision-making trust, and streamline future governance with better maintainability. Targeted fixes also included excluding TNTP/Gallup from completion metrics and adding status date-diff information to statuses, strengthening data governance and traceability.
19 Commits • 2 Features
Oct 1, 2025October 2025 performance summary for TEAMSchools/teamster: Delivered targeted improvements to two critical reporting areas, reinforcing data accuracy, maintainability, and business insight. Microgoals reporting improvements refactored the SQL model to support nested tags, enabling robust parsing of goal, strand, and bucket data, and corrected microgoal counts to align with goal code/name retrieval. Tableau SmartRecruiters reporting enhancements expanded the rpt_tableau__smartrecruiters model and dashboards with new metrics and dimensions, data quality controls, explicit column sourcing, progression flags, and improved stalled-high-quality logic, plus YAML-driven configuration and formatting improvements. These changes reduce data discrepancies, improve decision-making trust, and streamline future governance with better maintainability. Targeted fixes also included excluding TNTP/Gallup from completion metrics and adding status date-diff information to statuses, strengthening data governance and traceability.
October 2025
August 2025
31 Commits • 14 Features
Aug 1, 2025Monthly summary for August 2025 (TEAMSchools/teamster): Focused on delivering user-facing features, strengthening data integrity, and improving code quality and analytics capabilities. The work drove tangible business value by enabling clearer walkthroughs data, richer schema support, and more reliable reporting. Key outcomes include new views, schema refinements, and a robust set of bug fixes that stabilized reporting and data presentation.
August 2025
31 Commits • 14 Features
Aug 1, 2025Monthly summary for August 2025 (TEAMSchools/teamster): Focused on delivering user-facing features, strengthening data integrity, and improving code quality and analytics capabilities. The work drove tangible business value by enabling clearer walkthroughs data, richer schema support, and more reliable reporting. Key outcomes include new views, schema refinements, and a robust set of bug fixes that stabilized reporting and data presentation.
July 2025
36 Commits • 11 Features
Jul 1, 2025July 2025 — Focused on policy alignment, data reliability, and operational visibility within TEAMSchools/teamster. Delivered critical department/access policy updates, optimized active-user data handling and materialization strategy, introduced an operations PM view with completion tracking, completed a major import refactor with pivoted school/round columns, and enhanced the dimensional/semantic modeling configuration, all while improving code quality and maintainability.
36 Commits • 11 Features
Jul 1, 2025July 2025 — Focused on policy alignment, data reliability, and operational visibility within TEAMSchools/teamster. Delivered critical department/access policy updates, optimized active-user data handling and materialization strategy, introduced an operations PM view with completion tracking, completed a major import refactor with pivoted school/round columns, and enhanced the dimensional/semantic modeling configuration, all while improving code quality and maintainability.
July 2025
May 2025
11 Commits • 4 Features
May 1, 2025May 2025 monthly summary for TEAMSchools/teamster focused on data/reporting enhancements and scalable analytics across EKG operations, forms-based data extraction, and leadership reporting. Delivered features enablement, improved data quality, and year-over-year analysis readiness, driving actionable insights for school networks and operations.
May 2025
11 Commits • 4 Features
May 1, 2025May 2025 monthly summary for TEAMSchools/teamster focused on data/reporting enhancements and scalable analytics across EKG operations, forms-based data extraction, and leadership reporting. Delivered features enablement, improved data quality, and year-over-year analysis readiness, driving actionable insights for school networks and operations.
April 2025
11 Commits • 2 Features
Apr 1, 2025April 2025 Monthly Summary – TEAMSchools/teamster. Focused on delivering measurable business value through improved data quality and scalable reporting for survey metrics. Key feature deliveries include Tableau Survey Completion Reporting Enhancements (broadened data scope, corrected join logic, added completion/mail indicators, removed duplicates, and cleaned unused artifacts to improve reporting accuracy) and Refined Round Numbering for Survey Data (new row-number calculation based on academic year and survey term, improving data segmentation across layers). Major bugs fixed include eliminating duplicate responses, preventing double reporting, and resolving field aliasing issues, plus removal of unused views to stabilize the pipeline. Overall impact: more accurate, reliable, and scalable survey metrics that support better decision-making and reduce maintenance overhead. Demonstrated technologies/skills: SQL/ETL improvements, data modeling, refactoring for clarity, data quality controls, and disciplined commit hygiene across multiple commits.
11 Commits • 2 Features
Apr 1, 2025April 2025 Monthly Summary – TEAMSchools/teamster. Focused on delivering measurable business value through improved data quality and scalable reporting for survey metrics. Key feature deliveries include Tableau Survey Completion Reporting Enhancements (broadened data scope, corrected join logic, added completion/mail indicators, removed duplicates, and cleaned unused artifacts to improve reporting accuracy) and Refined Round Numbering for Survey Data (new row-number calculation based on academic year and survey term, improving data segmentation across layers). Major bugs fixed include eliminating duplicate responses, preventing double reporting, and resolving field aliasing issues, plus removal of unused views to stabilize the pipeline. Overall impact: more accurate, reliable, and scalable survey metrics that support better decision-making and reduce maintenance overhead. Demonstrated technologies/skills: SQL/ETL improvements, data modeling, refactoring for clarity, data quality controls, and disciplined commit hygiene across multiple commits.
April 2025
March 2025
15 Commits • 3 Features
Mar 1, 2025March 2025 monthly summary for TEAMSchools/teamster: Delivered value-focused analytics enhancements and governance improvements across the Tableau reporting pipeline and stipend data models, with a focus on data granularity, accuracy, and maintainability.
March 2025
15 Commits • 3 Features
Mar 1, 2025March 2025 monthly summary for TEAMSchools/teamster: Delivered value-focused analytics enhancements and governance improvements across the Tableau reporting pipeline and stipend data models, with a focus on data granularity, accuracy, and maintainability.
February 2025
10 Commits • 4 Features
Feb 1, 2025February 2025: Delivered data-model and reporting enhancements in TEAMSchools/teamster that improved scoring, data accuracy, and managerial coaching assignments, driving better decision support and operational efficiency. Key outcomes included richer candidate scoring with star_score and subject_preference, resilient resume_score fallback; improved survey link reliability with is_current, alongside linting improvements; enhanced Tableau usage reporting with staff roster history and localized timestamps; and a robust coaching-role determination using an instructional_managers CTE to accurately reflect current managers and Coach assignments. These efforts underpin improved BI insights, data quality, and governance.
10 Commits • 4 Features
Feb 1, 2025February 2025: Delivered data-model and reporting enhancements in TEAMSchools/teamster that improved scoring, data accuracy, and managerial coaching assignments, driving better decision support and operational efficiency. Key outcomes included richer candidate scoring with star_score and subject_preference, resilient resume_score fallback; improved survey link reliability with is_current, alongside linting improvements; enhanced Tableau usage reporting with staff roster history and localized timestamps; and a robust coaching-role determination using an instructional_managers CTE to accurately reflect current managers and Coach assignments. These efforts underpin improved BI insights, data quality, and governance.
February 2025
January 2025
39 Commits • 16 Features
Jan 1, 2025January 2025 performance summary for TEAMSchools/teamster focusing on analytics readiness, data integrity, and scalable reporting. Delivered key features to enhance data capture, reporting flexibility, and data pipelines, while stabilizing the codebase and paving the path for future ITR and PM scoring work.
January 2025
39 Commits • 16 Features
Jan 1, 2025January 2025 performance summary for TEAMSchools/teamster focusing on analytics readiness, data integrity, and scalable reporting. Delivered key features to enhance data capture, reporting flexibility, and data pipelines, while stabilizing the codebase and paving the path for future ITR and PM scoring work.
December 2024
9 Commits • 3 Features
Dec 1, 2024December 2024 monthly summary for TEAMSchools/teamster. Focused on delivering roster and coaching-related features, fixing regional reporting gaps, and accelerating data refresh for coaching insights. The work enhanced access control parity, expanded leadership development capabilities, and improved operational cadence across roster management and coaching workflows.
9 Commits • 3 Features
Dec 1, 2024December 2024 monthly summary for TEAMSchools/teamster. Focused on delivering roster and coaching-related features, fixing regional reporting gaps, and accelerating data refresh for coaching insights. The work enhanced access control parity, expanded leadership development capabilities, and improved operational cadence across roster management and coaching workflows.
December 2024
Activity
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Quality Metrics
Correctness89.4%
Maintainability90.0%
Architecture84.2%
Performance83.6%
AI Usage20.6%
Skills & Technologies
Programming Languages
MarkdownPythonSQLYAML
Technical Skills
BigQueryBusiness IntelligenceCode FormattingConfiguration ManagementData EngineeringData ModelingData WarehousingDatabase DevelopmentDatabase ManagementDatabase ModelingDocumentationETLLintingSQLSQL Development
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