mozilla/bigquery-etl
Dec 2024 – Dec 2024
1 Month active
Languages Used
sqlyaml
Technical Skills
BigQueryData EngineeringETLdbt
Daniel Brooks
PROFILE
Daniel Brooks
Worked on enhancing dataset architecture and governance within the mozilla/bigquery-etl repository, focusing on Pocket DBT dataset segmentation and metadata updates. Introduced discrete datasets for facts, intermediate and scratch-derived models, and multiple Snowplow-derived datasets, including facts, manifest, seed, and staging. Updated external dataset access to include the dataops-managed/external-dbt-prod workgroup, improving governance and business-user provisioning. Leveraged BigQuery, dbt, and SQL to implement these changes, which improved data organization, accessibility, and security for downstream analytics. The work emphasized clear dataset boundaries and targeted data consumption, reducing exposure risk while enabling more effective analytics workflows without reported bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
115
Activity Months1
Work History
December 2024
1 Commits • 1 Features
Dec 1, 2024Month: 2024-12. Focused on enhancing dataset architecture and governance in the mozilla/bigquery-etl repository. Delivered Pocket DBT Dataset Metadata and Derived-Model Dataset Segmentation with Snowplow access updates, introducing discrete datasets for Pocket DBT facts, intermediate derived models, scratch-derived models, and multiple Snowplow-derived datasets (facts, manifest, seed) as well as staging-derived datasets. Updated Snowplow external dataset access to include the dataops-managed/external-dbt-prod workgroup to strengthen governance and business-user access provisioning. No major bugs reported for this repository this month. Overall, the changes improve data organization, governance, and accessibility for downstream analytics, while reducing exposure risk and enabling targeted data consumption. Technologies/skills demonstrated include BigQuery ETL, DBT, Snowplow governance, dataset segmentation, and access provisioning.
1 Commits • 1 Features
Dec 1, 2024Month: 2024-12. Focused on enhancing dataset architecture and governance in the mozilla/bigquery-etl repository. Delivered Pocket DBT Dataset Metadata and Derived-Model Dataset Segmentation with Snowplow access updates, introducing discrete datasets for Pocket DBT facts, intermediate derived models, scratch-derived models, and multiple Snowplow-derived datasets (facts, manifest, seed) as well as staging-derived datasets. Updated Snowplow external dataset access to include the dataops-managed/external-dbt-prod workgroup to strengthen governance and business-user access provisioning. No major bugs reported for this repository this month. Overall, the changes improve data organization, governance, and accessibility for downstream analytics, while reducing exposure risk and enabling targeted data consumption. Technologies/skills demonstrated include BigQuery ETL, DBT, Snowplow governance, dataset segmentation, and access provisioning.
December 2024
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
sqlyaml
Technical Skills
BigQueryData EngineeringETLdbt
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