mozilla/lookml-generator
Oct 2025 – May 2026
5 Months active
Languages Used
YAML
Technical Skills
configuration managementdata modelingLookMLSQLanalyticsdata analysis
Jared Snyder
PROFILE
Jared Snyder
Worked on the mozilla/lookml-generator repository to enhance analytics and reporting capabilities for ad metrics and forecasting. Over five months, delivered features such as period-over-period revenue analysis, monthly forecast views, and actual impressions and clicks tracking, while also addressing data structure complexity and calculation bugs. Applied LookML, SQL, and YAML to streamline data models, improve data accuracy, and enable more reliable dashboards. Focused on configuration management and metrics development, ensuring traceable commits and clear documentation. The work resulted in more accurate business insights, faster validation of metrics, and improved data quality for forecasting, inventory reporting, and campaign performance analysis.
Overall Statistics
Feature vs Bugs
63%Features
Repository Contributions
11Total
Bugs
3
Commits
11
Features
5
Lines of code
249
Activity Months5
Your Network
412 peopleSame Organization
@mozilla.com401
Work History
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary for mozilla/lookml-generator: Delivered a key feature to reporting metrics by adding actual impressions and clicks tracking, enabling more accurate analytics and business insights. The work focused on data accuracy and instrumentation, with one central commit coordinating the change. Impact includes improved decision-making for campaigns and better visibility into user engagement.
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary for mozilla/lookml-generator: Delivered a key feature to reporting metrics by adding actual impressions and clicks tracking, enabling more accurate analytics and business insights. The work focused on data accuracy and instrumentation, with one central commit coordinating the change. Impact includes improved decision-making for campaigns and better visibility into user engagement.
May 2026
April 2026
2 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for mozilla/lookml-generator: Delivered critical enhancements to inventory reporting and revenue forecasting data, fixed key calculation bugs, and strengthened data reliability for dashboards. The work improved business value through more accurate forecasts, higher data fidelity, and faster validation of metrics, while showcasing strong SQL, data modeling, and metrics instrumentation skills across the repository.
April 2026
2 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for mozilla/lookml-generator: Delivered critical enhancements to inventory reporting and revenue forecasting data, fixed key calculation bugs, and strengthened data reliability for dashboards. The work improved business value through more accurate forecasts, higher data fidelity, and faster validation of metrics, while showcasing strong SQL, data modeling, and metrics instrumentation skills across the repository.
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026: Delivered Period-over-Period (PoP) metrics for the forecast_content_monthly view in mozilla/lookml-generator, enabling month-over-month revenue and impression analysis and improving forecast accuracy. No major bugs fixed this month. Impact: sharper business insights and faster decision-making for revenue optimization; improved data quality and traceability through the PoP implementation. Technologies/skills: LookML view enhancements, PoP metric design, data normalization (string casting), and alignment with issue #1403.
1 Commits • 1 Features
Mar 1, 2026March 2026: Delivered Period-over-Period (PoP) metrics for the forecast_content_monthly view in mozilla/lookml-generator, enabling month-over-month revenue and impression analysis and improving forecast accuracy. No major bugs fixed this month. Impact: sharper business insights and faster decision-making for revenue optimization; improved data quality and traceability through the PoP implementation. Technologies/skills: LookML view enhancements, PoP metric design, data normalization (string casting), and alignment with issue #1403.
March 2026
February 2026
6 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for mozilla/lookml-generator: Delivered key analytics capabilities and data quality improvements in LookML to enable forecast-driven planning and ad-demand insights, with reliable reporting across monthly forecasts and daily statistics.
February 2026
6 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for mozilla/lookml-generator: Delivered key analytics capabilities and data quality improvements in LookML to enable forecast-driven planning and ad-demand insights, with reliable reporting across monthly forecasts and daily statistics.
October 2025
1 Commits
Oct 1, 2025October 2025 — Mozilla LookML Generator: focused ad metrics data structure cleanup to simplify the model and reduce maintenance burden.
1 Commits
Oct 1, 2025October 2025 — Mozilla LookML Generator: focused ad metrics data structure cleanup to simplify the model and reduce maintenance burden.
October 2025
Activity
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Quality Metrics
Correctness98.2%
Maintainability87.2%
Architecture87.2%
Performance87.2%
AI Usage21.8%
Skills & Technologies
Programming Languages
YAML
Technical Skills
LookMLSQLanalyticsconfiguration managementdata analysisdata modelingdatabase designdatabase managementforecastingmetrics developmentreporting
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline