elementary-data/dbt-data-reliability
Mar 2025 – Mar 2025
1 Month active
Languages Used
SQL
Technical Skills
Data ModelingData Qualitydbt
tal.peretz
PROFILE
Tal.peretz
Tal Peretz enhanced schema baseline testing in the elementary-data/dbt-data-reliability repository by introducing resource-type filtering to the generate_schema_baseline_test macro. This feature allows users to target either models or sources, improving the precision of schema validation and reducing false positives. Tal updated the get_node_by_name macro to support granular filtering, enabling more focused and efficient testing workflows. The work demonstrated strong skills in dbt macro development, SQL, and data quality practices, aligning testing strategies with data reliability objectives. The changes were version-controlled with clear commit references, reflecting a thoughtful approach to maintainability and future extensibility within the data modeling process.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
15
Activity Months1
Your Network
15 peopleSame Organization
@riskified.com1
Work History
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for elementary-data/dbt-data-reliability: Key feature delivered: Schema Baseline Testing Enhancement enabling resource-type filtering. Major changes: - Added resource_type option to generate_schema_baseline_test to target models or sources - Updated get_node_by_name macro to filter by resource type for granular baseline testing Commit reference: 679057a63bc759b18173e2ff0fbf37bc37818512 (feat: Add resource type option to generate_schema_baseline_test) Bugs fixed: None reported this month. Impact and accomplishments: - Improves precision of schema baseline validation, reducing false positives and increasing confidence in data quality. - Enables targeted testing workflows for models vs sources, accelerating validation cycles and easing future enhancements. Technologies/skills demonstrated: - dbt macro development and parameterization - Macro-based filtering and governance for testing - Version control and traceability with commit-level references - Testing strategy alignment with data reliability goals Repository: elementary-data/dbt-data-reliability
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for elementary-data/dbt-data-reliability: Key feature delivered: Schema Baseline Testing Enhancement enabling resource-type filtering. Major changes: - Added resource_type option to generate_schema_baseline_test to target models or sources - Updated get_node_by_name macro to filter by resource type for granular baseline testing Commit reference: 679057a63bc759b18173e2ff0fbf37bc37818512 (feat: Add resource type option to generate_schema_baseline_test) Bugs fixed: None reported this month. Impact and accomplishments: - Improves precision of schema baseline validation, reducing false positives and increasing confidence in data quality. - Enables targeted testing workflows for models vs sources, accelerating validation cycles and easing future enhancements. Technologies/skills demonstrated: - dbt macro development and parameterization - Macro-based filtering and governance for testing - Version control and traceability with commit-level references - Testing strategy alignment with data reliability goals Repository: elementary-data/dbt-data-reliability
March 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
SQL
Technical Skills
Data ModelingData Qualitydbt
Repositories Contributed To
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