ccao-data/data-architecture
Dec 2024 – Mar 2025
2 Months active
Languages Used
SQLYAMLCSV
Technical Skills
Data EngineeringData ModelingDatabase TestingSQLdbtData Seeding
Jean Cochrane
PROFILE
Jean Cochrane
Jean Cochrane contributed to the ccao-data/data-architecture repository by engineering performance improvements and data quality enhancements for analytics pipelines. Jean materialized the vw_pin_shared_input model as a daily partitioned and pin-bucketed table, optimizing dbt build times and reducing Athena data scans. She tuned test thresholds for Sale View models, balancing flexibility with data integrity. Additionally, Jean addressed a seed data encoding issue in the commercial_minor_subclass CSV, ensuring accurate representation of special characters and reliable downstream analytics. Her work demonstrated depth in data engineering, data modeling, and database testing, leveraging SQL, dbt, and YAML to deliver robust, maintainable data solutions.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
34
Activity Months2
Your Network
4 peopleShared Repositories
4
Work History
March 2025
1 Commits
Mar 1, 2025March 2025 — ccao-data/data-architecture: Delivered a critical seed data encoding fix for commercial_minor_subclass. The seed was incorrectly encoding '&' and '<=' in the ccao.commercial_minor_subclass CSV, risking data misrepresentation in downstream analytics. The fix updates the seed to use proper encoding, integrates with the existing seed pipeline, and was validated against production-like datasets to ensure reliable data representation for commercial property subclasses. This work improves data integrity and trust in dashboards and reports that rely on seed data.
1 Commits
Mar 1, 2025March 2025 — ccao-data/data-architecture: Delivered a critical seed data encoding fix for commercial_minor_subclass. The seed was incorrectly encoding '&' and '<=' in the ccao.commercial_minor_subclass CSV, risking data misrepresentation in downstream analytics. The fix updates the seed to use proper encoding, integrates with the existing seed pipeline, and was validated against production-like datasets to ensure reliable data representation for commercial property subclasses. This work improves data integrity and trust in dashboards and reports that rely on seed data.
March 2025
December 2024
2 Commits • 2 Features
Dec 1, 20242024-12 Monthly Summary for ccao-data/data-architecture. This month focused on delivering performance improvements for daily analytics pipelines and strengthening test reliability, with clear business value in faster, cost-efficient data processing and more stable data quality checks. Key features delivered: - Materialize vw_pin_shared_input into a daily partitioned table, partitioned by year and bucketed by pin to speed up daily dbt builds and reduce data scanned by Athena. Commit: 936b145aac4bbb8d8b5dc022353f8f44a1ac3e2a. - Test thresholds tuning for Sale View tests: increased allowed duplicates from 2 to 5 and lowered error thresholds for default.vw_pin_sale and default.vw_pin_sale_combined to balance flexibility with data integrity checks. Commit: 45ec2ee439f3c9ef945213975708fd24a47d40b7. Major bugs fixed: - None reported for this repository this month. Overall impact and accomplishments: - Faster daily build cycles and reduced data scanned, improving analytics latency and cost efficiency. - More robust tests with improved tolerance, enabling faster feedback without compromising data quality. Technologies/skills demonstrated: - dbt model materialization, partitioning and bucketing strategies (year partitions, pin bucketing) - Athena data-scan optimization - Test design and threshold tuning - Git-based change traceability and documentation
December 2024
2 Commits • 2 Features
Dec 1, 20242024-12 Monthly Summary for ccao-data/data-architecture. This month focused on delivering performance improvements for daily analytics pipelines and strengthening test reliability, with clear business value in faster, cost-efficient data processing and more stable data quality checks. Key features delivered: - Materialize vw_pin_shared_input into a daily partitioned table, partitioned by year and bucketed by pin to speed up daily dbt builds and reduce data scanned by Athena. Commit: 936b145aac4bbb8d8b5dc022353f8f44a1ac3e2a. - Test thresholds tuning for Sale View tests: increased allowed duplicates from 2 to 5 and lowered error thresholds for default.vw_pin_sale and default.vw_pin_sale_combined to balance flexibility with data integrity checks. Commit: 45ec2ee439f3c9ef945213975708fd24a47d40b7. Major bugs fixed: - None reported for this repository this month. Overall impact and accomplishments: - Faster daily build cycles and reduced data scanned, improving analytics latency and cost efficiency. - More robust tests with improved tolerance, enabling faster feedback without compromising data quality. Technologies/skills demonstrated: - dbt model materialization, partitioning and bucketing strategies (year partitions, pin bucketing) - Athena data-scan optimization - Test design and threshold tuning - Git-based change traceability and documentation
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture86.6%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVSQLYAML
Technical Skills
Data EngineeringData ModelingData SeedingDatabase TestingSQLdbt
Repositories Contributed To
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