TEAMSchools/teamster
Nov 2024 – Oct 2025
12 Months active
Languages Used
SQLYAML
Technical Skills
Code LintingData EngineeringData ModelingData WarehousingDatabase DevelopmentSQL
Kevin Verhoff
PROFILE
Kevin Verhoff
Over the past year, Kevin Verhoff engineered robust data pipelines and analytics models for the TEAMSchools/teamster repository, focusing on staff rosters, renewals, and performance management reporting. He designed and optimized SQL and dbt-based data models to support Tableau dashboards, integrating sources such as Google Forms, KnowBe4 training, and pension plan data. Kevin addressed data quality through rigorous linting, normalization, and deduplication, while implementing features like timezone-aware reporting and year-over-year membership analytics. His work improved reporting accuracy, regulatory compliance, and business decision support, demonstrating depth in SQL development, ETL, and data modeling across complex, evolving education data systems.
Overall Statistics
Feature vs Bugs
69%Features
Repository Contributions
109Total
Bugs
16
Commits
109
Features
35
Lines of code
4,128
Activity Months12
Your Network
13 peopleSame Organization
@kippteamandfamily.org4
Work History
October 2025
3 Commits • 1 Features
Oct 1, 2025October 2025: Focused on delivering business-value enhancements to retention visibility and strengthening reporting accuracy in the TEAMSchools/teamster repo. Delivered a feature to include terminated staff in retention metrics, and fixed a critical Tableau data integrity issue by correcting joins and improving active-staff logic. These changes improve retention visibility, dashboard reliability, and data-driven decision making for school operations.
3 Commits • 1 Features
Oct 1, 2025October 2025: Focused on delivering business-value enhancements to retention visibility and strengthening reporting accuracy in the TEAMSchools/teamster repo. Delivered a feature to include terminated staff in retention metrics, and fixed a critical Tableau data integrity issue by correcting joins and improving active-staff logic. These changes improve retention visibility, dashboard reliability, and data-driven decision making for school operations.
October 2025
September 2025
22 Commits • 9 Features
Sep 1, 2025September 2025 (2025-09): Delivered foundational data-model enhancements and reporting capabilities in TEAMSchools/teamster, enabling accurate membership analytics, stronger data governance, and Tableau-ready insights. Implementations focused on core memberships, year-over-year AY analytics, data integrity enhancements, attribution, and reporting readiness, while stabilizing the trunk through maintenance work to support faster future delivery.
September 2025
22 Commits • 9 Features
Sep 1, 2025September 2025 (2025-09): Delivered foundational data-model enhancements and reporting capabilities in TEAMSchools/teamster, enabling accurate membership analytics, stronger data governance, and Tableau-ready insights. Implementations focused on core memberships, year-over-year AY analytics, data integrity enhancements, attribution, and reporting readiness, while stabilizing the trunk through maintenance work to support faster future delivery.
August 2025
18 Commits • 3 Features
Aug 1, 2025August 2025 monthly summary for TEAMSchools/teamster: Delivered Pension Plan Data Integration for staff roster and Tableau; enhanced Attrition and Retention analytics; built People Spine/Topline Data Foundation. Implemented join alignment and data quality improvements (deduplication, linting, and syntax cleanup) to strengthen reporting accuracy and maintainability. Impact spans regulatory compliance reporting, reliable topline metrics, and a scalable data spine for ongoing personnel analytics. Technologies demonstrated include SQL, data modeling, SQL linting, and Tableau data visualization.
18 Commits • 3 Features
Aug 1, 2025August 2025 monthly summary for TEAMSchools/teamster: Delivered Pension Plan Data Integration for staff roster and Tableau; enhanced Attrition and Retention analytics; built People Spine/Topline Data Foundation. Implemented join alignment and data quality improvements (deduplication, linting, and syntax cleanup) to strengthen reporting accuracy and maintainability. Impact spans regulatory compliance reporting, reliable topline metrics, and a scalable data spine for ongoing personnel analytics. Technologies demonstrated include SQL, data modeling, SQL linting, and Tableau data visualization.
August 2025
July 2025
5 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for the TEAMSchools/teamster repo. Delivered the KnowBe4 training enrollment roster data model and a dedicated reporting model, with an intermediate roster SQL model that joins staff roster with KnowBe4 training data. Implemented refinements to the intermediate model and staging to support enrollment year/month, and fixed data type mismatches and syntax issues to ensure reliable joins and accurate reporting of training enrollment status. Also completed join fixes and final data-quality corrections to stabilize the reporting pipeline.
July 2025
5 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for the TEAMSchools/teamster repo. Delivered the KnowBe4 training enrollment roster data model and a dedicated reporting model, with an intermediate roster SQL model that joins staff roster with KnowBe4 training data. Implemented refinements to the intermediate model and staging to support enrollment year/month, and fixed data type mismatches and syntax issues to ensure reliable joins and accurate reporting of training enrollment status. Also completed join fixes and final data-quality corrections to stabilize the reporting pipeline.
June 2025
2 Commits
Jun 1, 2025June 2025 monthly summary for TEAMSchools/teamster: Focused on data quality and reliability for the staff renewal feed. Implemented whitespace trimming for ny_title to ensure consistent joins and Tableau reporting; updated CTE placement for standardized normalization. Two commits addressed trimming and a trunk fix, stabilizing the data pipeline.
2 Commits
Jun 1, 2025June 2025 monthly summary for TEAMSchools/teamster: Focused on data quality and reliability for the staff renewal feed. Implemented whitespace trimming for ny_title to ensure consistent joins and Tableau reporting; updated CTE placement for standardized normalization. Two commits addressed trimming and a trunk fix, stabilizing the data pipeline.
June 2025
May 2025
3 Commits • 1 Features
May 1, 2025In May 2025, delivered robust data pipeline enhancements for Google Forms submissions and salary projections, ensuring only the most recent responses are used and strengthening joins to handle missing grade level bands. Implemented a data integrity fix for salary modification explanations to render correctly in Tableau. Result: more accurate, timely reporting and reduced downstream data issues. Demonstrated strong data engineering, QA, and cross-team collaboration across the TEAMSchools/teamster repo, with clear Git-based change tracking and measurable business value in dashboards and decision-making.
May 2025
3 Commits • 1 Features
May 1, 2025In May 2025, delivered robust data pipeline enhancements for Google Forms submissions and salary projections, ensuring only the most recent responses are used and strengthening joins to handle missing grade level bands. Implemented a data integrity fix for salary modification explanations to render correctly in Tableau. Result: more accurate, timely reporting and reduced downstream data issues. Demonstrated strong data engineering, QA, and cross-team collaboration across the TEAMSchools/teamster repo, with clear Git-based change tracking and measurable business value in dashboards and decision-making.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 — TEAMSchools/teamster: Delivered a focused enhancement to Tableau PM Outlier Detection by adding a primary_indicator filter to the join clause, refining the data scope and improving outlier detection accuracy. This change enhances data quality for PM cohorts and supports more reliable business decisions. No major bugs were fixed this month. Impact: clearer, more trustworthy PM insights with a more precise data scope in Tableau reports. Technologies/skills demonstrated: SQL join logic, data modeling, Tableau report configuration, and Git-based change management.
1 Commits • 1 Features
Apr 1, 2025April 2025 — TEAMSchools/teamster: Delivered a focused enhancement to Tableau PM Outlier Detection by adding a primary_indicator filter to the join clause, refining the data scope and improving outlier detection accuracy. This change enhances data quality for PM cohorts and supports more reliable business decisions. No major bugs were fixed this month. Impact: clearer, more trustworthy PM insights with a more precise data scope in Tableau reports. Technologies/skills demonstrated: SQL join logic, data modeling, Tableau report configuration, and Git-based change management.
April 2025
March 2025
6 Commits • 2 Features
Mar 1, 2025March 2025 (TEAMSchools/teamster): Delivered key data enrichment and quality improvements to the staff renewal pipeline, enabling more accurate Tableau reporting and HR readiness. Implemented renewal_doc field in the staff renewal feed, corrected pre-start Active status logic, and standardized numeric formatting and data types across the feed. These changes reduce downstream manual corrections, improve data reliability, and support data-driven decision-making for renewals and staffing.
March 2025
6 Commits • 2 Features
Mar 1, 2025March 2025 (TEAMSchools/teamster): Delivered key data enrichment and quality improvements to the staff renewal pipeline, enabling more accurate Tableau reporting and HR readiness. Implemented renewal_doc field in the staff renewal feed, corrected pre-start Active status logic, and standardized numeric formatting and data types across the feed. These changes reduce downstream manual corrections, improve data reliability, and support data-driven decision-making for renewals and staffing.
February 2025
31 Commits • 12 Features
Feb 1, 2025February 2025 monthly summary for TEAMSchools/teamster: Delivered data-migration, reporting enhancements, and reliability improvements. Focused on moving critical data to the internal 'int' domain, expanding Tableau reporting capabilities, and strengthening financial data handling, while stabilizing core data pipelines and maintaining code quality. Overall, this period delivered concrete business value through improved data accuracy, richer dashboards, and more maintainable code.
31 Commits • 12 Features
Feb 1, 2025February 2025 monthly summary for TEAMSchools/teamster: Delivered data-migration, reporting enhancements, and reliability improvements. Focused on moving critical data to the internal 'int' domain, expanding Tableau reporting capabilities, and strengthening financial data handling, while stabilizing core data pipelines and maintaining code quality. Overall, this period delivered concrete business value through improved data accuracy, richer dashboards, and more maintainable code.
February 2025
January 2025
9 Commits • 2 Features
Jan 1, 2025January 2025 (2025-01) — TEAMSchools/teamster: Delivered two major features with focused data improvements across survey reporting and renewal analytics. Implemented timezone-aware reporting, improved data selection, and introduced a robust renewal data model to enable better business insights and cross-time-zone reporting. No explicit standalone bugfixes documented; bug-related improvements were integrated into feature work. The work enhances reporting accuracy, supports deeper renewal analytics, and improves traceability through commit-level changes.
January 2025
9 Commits • 2 Features
Jan 1, 2025January 2025 (2025-01) — TEAMSchools/teamster: Delivered two major features with focused data improvements across survey reporting and renewal analytics. Implemented timezone-aware reporting, improved data selection, and introduced a robust renewal data model to enable better business insights and cross-time-zone reporting. No explicit standalone bugfixes documented; bug-related improvements were integrated into feature work. The work enhances reporting accuracy, supports deeper renewal analytics, and improves traceability through commit-level changes.
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for TEAMSchools/teamster, focusing on delivering enhanced data extraction and analytics capabilities for Performance Management and Coach Evaluations.
2 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for TEAMSchools/teamster, focusing on delivering enhanced data extraction and analytics capabilities for Performance Management and Coach Evaluations.
December 2024
November 2024
7 Commits • 2 Features
Nov 1, 2024Summary for 2024-11 (TEAMSchools/teamster): Key features delivered: Enriched rpt_tableau__staff_roster by joining with leadership crosswalk to include school leader and DSO contact details for reporting (9503a6bc51751e070756baed85cdf5534d7af813). User roles and active users reporting enhancements: added Achievement Director as Sub Admin, refined report filters, and generalized the active users query to remove hardcoded employee filters (ad230da8ac0c72a20ab2c0b94638d3383d, 2f903dd43f8b7e5a0690ed2608db0d86d1c30664, 538345c4f3c9e115125860498e9e5cfea55ee321). Major bugs fixed: Data cleansing for Google Sheets staff info export - remove apostrophes from undergraduate_school field to prevent downstream processing issues (e2e09dae46dfd8af02a492c81c765887b662aa7e). Code quality and linting cleanups across staff feed and SQL files - add SQLFluff ignore rule and update lint directive to ignore rpt_gsheets__people_staff_info_feed_and_links.sql and related SQL files (1a01a555c4ca91dbd3348ccac31cec26140277be, dff964e78def147cc9c746744e2159a35ce3c4b4). Overall impact: Data accuracy and reporting reliability improved; downstream processing errors reduced; code quality and maintainability strengthened; groundwork laid for scalable data enrichment. Technologies/skills: SQL modeling and data enrichment (rpt_tableau__staff_roster, leadership crosswalk), BigQuery reporting, Tableau integration, SQLFluff linting, Git-based traceability, cross-functional collaboration.
November 2024
7 Commits • 2 Features
Nov 1, 2024Summary for 2024-11 (TEAMSchools/teamster): Key features delivered: Enriched rpt_tableau__staff_roster by joining with leadership crosswalk to include school leader and DSO contact details for reporting (9503a6bc51751e070756baed85cdf5534d7af813). User roles and active users reporting enhancements: added Achievement Director as Sub Admin, refined report filters, and generalized the active users query to remove hardcoded employee filters (ad230da8ac0c72a20ab2c0b94638d3383d, 2f903dd43f8b7e5a0690ed2608db0d86d1c30664, 538345c4f3c9e115125860498e9e5cfea55ee321). Major bugs fixed: Data cleansing for Google Sheets staff info export - remove apostrophes from undergraduate_school field to prevent downstream processing issues (e2e09dae46dfd8af02a492c81c765887b662aa7e). Code quality and linting cleanups across staff feed and SQL files - add SQLFluff ignore rule and update lint directive to ignore rpt_gsheets__people_staff_info_feed_and_links.sql and related SQL files (1a01a555c4ca91dbd3348ccac31cec26140277be, dff964e78def147cc9c746744e2159a35ce3c4b4). Overall impact: Data accuracy and reporting reliability improved; downstream processing errors reduced; code quality and maintainability strengthened; groundwork laid for scalable data enrichment. Technologies/skills: SQL modeling and data enrichment (rpt_tableau__staff_roster, leadership crosswalk), BigQuery reporting, Tableau integration, SQLFluff linting, Git-based traceability, cross-functional collaboration.
Activity
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Quality Metrics
Correctness85.0%
Maintainability86.6%
Architecture80.0%
Performance79.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
SQLYAML
Technical Skills
Code LintingData EngineeringData ModelingData WarehousingDatabase DevelopmentDatabase ManagementETLSQLSQL DevelopmentSQL OptimizationTableauTableau IntegrationTimezone Managementdbt
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