LBHackney-IT/Data-Platform
Nov 2024 – Jan 2025
2 Months active
Languages Used
SQLHCLJupyter NotebookPythonTerraform
Technical Skills
Data EngineeringDatabase ManagementAPI IntegrationAWSAWS GlueCloud Engineering
Sandrine Balley
PROFILE
Sandrine Balley
Sandrine Balley contributed to the LBHackney-IT/Data-Platform repository by engineering scalable data ingestion pipelines and enriching analytics datasets. She developed a supplementary table to join additional information with existing data, enhancing reporting depth and enabling more comprehensive analytics. Using Python, SQL, and Terraform, Sandrine implemented LLPG data ingestion to Geolive via AWS Glue, orchestrating raw data flows into the unrestricted data zone. She improved Tascomi API ingestion by increasing parallelism and updating endpoints, and stabilized pipelines by excluding emergency databases from ingestion. Her work demonstrated strong data modeling, infrastructure as code, and data engineering practices, resulting in more reliable, accessible data.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
12Total
Bugs
1
Commits
12
Features
3
Lines of code
188
Activity Months2
Your Network
10 peopleSame Organization
@hackney.gov.uk4
Work History
January 2025
11 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for LBHackney-IT/Data-Platform focusing on delivering scalable data ingestion capabilities and stabilizing ingestion pipelines. Key delivery included LLPG data ingestion to Geolive, Tascomi API ingestion enhancements, and an exclusion fix for Addresses API ingestion to mitigate risk. The work improved data accessibility, reliability, and maintainability while enabling timely, policy-compliant data availability in the unrestricted data zone.
11 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for LBHackney-IT/Data-Platform focusing on delivering scalable data ingestion capabilities and stabilizing ingestion pipelines. Key delivery included LLPG data ingestion to Geolive, Tascomi API ingestion enhancements, and an exclusion fix for Addresses API ingestion to mitigate risk. The work improved data accessibility, reliability, and maintainability while enabling timely, policy-compliant data availability in the unrestricted data zone.
January 2025
November 2024
1 Commits • 1 Features
Nov 1, 2024Month: 2024-11 — Summary of work on LBHackney-IT/Data-Platform Key features delivered: - Analytics Data Enrichment: Implemented a New Supplementary Table to enrich analytics datasets by joining supplementary information with current data, enabling richer analysis and reporting. - Commit reference: a5302d046dfa5da209fb85802d5b458e00c8e1fb (message: "Different table to enrich") Major bugs fixed: - No major defects reported or fixed this month. Overall impact and accomplishments: - Expanded analytics capabilities by introducing a supplementary data layer, leading to more actionable insights and improved reporting accuracy for stakeholders. - The new table lays the groundwork for advanced analytics, enabling more comprehensive joins and richer data collaboration across teams. - Progress aligned with the data platform roadmap, maintaining momentum and reducing time-to-insight for reporting pipelines. Technologies/skills demonstrated: - Data modeling and schema design for supplementary datasets - SQL/data warehouse concepts to support enrichment joins - Version control discipline and traceability via a clear commit and messaging - Cross-functional collaboration within the Data Platform repository Business value: - Enables richer, faster analytics and reporting, supporting better operational decisions and strategic planning.
November 2024
1 Commits • 1 Features
Nov 1, 2024Month: 2024-11 — Summary of work on LBHackney-IT/Data-Platform Key features delivered: - Analytics Data Enrichment: Implemented a New Supplementary Table to enrich analytics datasets by joining supplementary information with current data, enabling richer analysis and reporting. - Commit reference: a5302d046dfa5da209fb85802d5b458e00c8e1fb (message: "Different table to enrich") Major bugs fixed: - No major defects reported or fixed this month. Overall impact and accomplishments: - Expanded analytics capabilities by introducing a supplementary data layer, leading to more actionable insights and improved reporting accuracy for stakeholders. - The new table lays the groundwork for advanced analytics, enabling more comprehensive joins and richer data collaboration across teams. - Progress aligned with the data platform roadmap, maintaining momentum and reducing time-to-insight for reporting pipelines. Technologies/skills demonstrated: - Data modeling and schema design for supplementary datasets - SQL/data warehouse concepts to support enrichment joins - Version control discipline and traceability via a clear commit and messaging - Cross-functional collaboration within the Data Platform repository Business value: - Enables richer, faster analytics and reporting, supporting better operational decisions and strategic planning.
Activity
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Quality Metrics
Correctness88.2%
Maintainability91.6%
Architecture85.2%
Performance78.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
HCLJupyter NotebookPythonSQLTerraform
Technical Skills
API IntegrationAWSAWS GlueCloud EngineeringData EngineeringDatabase ManagementDevOpsETLInfrastructure as CodeLintingPython ScriptingTerraform
Repositories Contributed To
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