Planning-Inspectorate/odw-synapse-workspace
Feb 2025 – Apr 2025
3 Months active
Languages Used
PythonSQL
Technical Skills
Data EngineeringPythonSQLSynapseTestingData Analysis
alex-ghoth
PROFILE
Alex-ghoth
Worked on the Planning-Inspectorate/odw-synapse-workspace repository over three months, delivering features and reliability improvements focused on data quality and operational efficiency. Developed a Python unit test notebook to validate NSIP subscription functionality within Synapse, establishing automated, parameterized testing for safer deployments. Enhanced data governance by auditing S51 horizon data, investigating deleted records, and refining data analysis processes to ensure integrity and traceability. Addressed pipeline reliability by reducing investigation timeouts for failed data copy operations, improving remediation speed. Leveraged Python, SQL, and Synapse, applying skills in data engineering, database management, and pipeline optimization to deliver robust, maintainable solutions for data workflows.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
604
Activity Months3
Your Network
46 peopleSame Organization
@solirius.com30
Work History
April 2025
1 Commits
Apr 1, 2025April 2025 – Planning-Inspectorate/odw-synapse-workspace: Focused on reliability and performance improvements in the data copy pipeline. Delivered a targeted bug fix to significantly reduce investigation latency for failed copy operations, improving data delivery timeliness and operational efficiency. The change aligns with Theodw 1744 recommendations (#1774) and reduces operator wait times from 12 hours to 2 hours for pipeline investigations.
1 Commits
Apr 1, 2025April 2025 – Planning-Inspectorate/odw-synapse-workspace: Focused on reliability and performance improvements in the data copy pipeline. Delivered a targeted bug fix to significantly reduce investigation latency for failed copy operations, improving data delivery timeliness and operational efficiency. The change aligns with Theodw 1744 recommendations (#1774) and reduces operator wait times from 12 hours to 2 hours for pipeline investigations.
April 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025, Planning-Inspectorate/odw-synapse-workspace: Focused on data quality improvements for horizon data. Key feature delivered: Data Quality Audit for S51 horizon data, with investigation into deleted data related to S51 advice and horizon; refined data handling and analysis processes to ensure data integrity. Result: higher data fidelity, improved traceability, and reduced risk of stale or lost horizon data affecting planning insights. Code changes include commit c551bb4648e98ee17246a74b8e89e58f95b5df39 (Feat/theodw 1681 s 51 advice horizon deleted data further investigation (#1699)). Overall impact: stronger data governance for regulatory horizon data, enabling more reliable decision-making and compliance. Technologies demonstrated: data quality methodologies, data lineage analysis, validation pipelines, and disciplined version control.
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025, Planning-Inspectorate/odw-synapse-workspace: Focused on data quality improvements for horizon data. Key feature delivered: Data Quality Audit for S51 horizon data, with investigation into deleted data related to S51 advice and horizon; refined data handling and analysis processes to ensure data integrity. Result: higher data fidelity, improved traceability, and reduced risk of stale or lost horizon data affecting planning insights. Code changes include commit c551bb4648e98ee17246a74b8e89e58f95b5df39 (Feat/theodw 1681 s 51 advice horizon deleted data further investigation (#1699)). Overall impact: stronger data governance for regulatory horizon data, enabling more reliable decision-making and compliance. Technologies demonstrated: data quality methodologies, data lineage analysis, validation pipelines, and disciplined version control.
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for Planning-Inspectorate/odw-synapse-workspace: focused on validating NSIP subscription functionality within Synapse by adding a Python unit test notebook and establishing robust test execution parameters. The work increases test coverage, reduces deployment risk, and demonstrates automation in data workspace validation.
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for Planning-Inspectorate/odw-synapse-workspace: focused on validating NSIP subscription functionality within Synapse by adding a Python unit test notebook and establishing robust test execution parameters. The work increases test coverage, reduces deployment risk, and demonstrates automation in data workspace validation.
February 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture66.6%
Performance66.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonSQL
Technical Skills
Data AnalysisData EngineeringData InvestigationDatabase ManagementNotebook DevelopmentPipeline OptimizationPythonSQLSynapseTesting
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