DFE-Digital/education-benchmarking-and-insights
Jun 2025 – Jan 2026
8 Months active
Languages Used
C#MarkdownPythonSQLShellDockerfileTOMLBash
Technical Skills
ArchitectureCI/CDData EngineeringData ProcessingDatabase ManagementDatabase Setup
murdo-hippo
PROFILE
Murdo-hippo
Murdo Moyse developed and maintained core data engineering workflows for the DFE-Digital/education-benchmarking-and-insights repository, focusing on scalable data pipelines, schema evolution, and robust financial reporting. He implemented modular Python and SQL-based ETL processes, leveraging Azure infrastructure and Databricks for cloud-native data processing. His work included refactoring pipelines for performance, integrating new data sources, and enhancing data validation and observability, which improved reporting accuracy and reliability. Murdo also contributed detailed technical documentation and architecture decision records, supporting governance and onboarding. His approach emphasized maintainability, test coverage, and secure DevOps practices, resulting in a resilient, well-documented backend data platform.
Overall Statistics
Feature vs Bugs
79%Features
Repository Contributions
59Total
Bugs
7
Commits
59
Features
27
Lines of code
22,804
Activity Months8
Your Network
24 people
Work History
January 2026
7 Commits • 4 Features
Jan 1, 2026January 2026 performance summary highlighting business value from scalable data infrastructure, enhanced data models, and improved maintainability across the DFE Education Benchmarking project. Delivered concrete features, resolved critical issues, and reinforced data governance with documentation and dependency upgrades.
7 Commits • 4 Features
Jan 1, 2026January 2026 performance summary highlighting business value from scalable data infrastructure, enhanced data models, and improved maintainability across the DFE Education Benchmarking project. Delivered concrete features, resolved critical issues, and reinforced data governance with documentation and dependency upgrades.
January 2026
December 2025
6 Commits • 3 Features
Dec 1, 2025December 2025: Delivered core data platform enhancements for the education benchmarking and insights repository, focusing on data quality, reliability, and developer experience. Implemented schema and pipeline improvements to enable accurate 2025 S251 analysis, strengthened pupil data processing, and reduced duplication in pupil counts. Performed targeted infrastructure cleanup to secure the development environment and streamline future changes.
December 2025
6 Commits • 3 Features
Dec 1, 2025December 2025: Delivered core data platform enhancements for the education benchmarking and insights repository, focusing on data quality, reliability, and developer experience. Implemented schema and pipeline improvements to enable accurate 2025 S251 analysis, strengthened pupil data processing, and reduced duplication in pupil counts. Performed targeted infrastructure cleanup to secure the development environment and streamline future changes.
November 2025
1 Commits • 1 Features
Nov 1, 2025Month 2025-11 — DFE-Digital/education-benchmarking-and-insights: Delivered Databricks Development Process Documentation for FBIT data preprocessing pipelines using Databricks Asset Bundles (DABs) and Delta Live Tables (DLT). The documentation covers technology stack, environment setup, a step-by-step development workflow, and testing strategies, linking to the commit 66fb1daf86556794957ad0982869d826488bf6fd. This work improves onboarding, consistency, and governance across the data pipelines, enabling faster and safer feature delivery. No production bugs fixed this month; focus was on documentation and knowledge transfer.
1 Commits • 1 Features
Nov 1, 2025Month 2025-11 — DFE-Digital/education-benchmarking-and-insights: Delivered Databricks Development Process Documentation for FBIT data preprocessing pipelines using Databricks Asset Bundles (DABs) and Delta Live Tables (DLT). The documentation covers technology stack, environment setup, a step-by-step development workflow, and testing strategies, linking to the commit 66fb1daf86556794957ad0982869d826488bf6fd. This work improves onboarding, consistency, and governance across the data pipelines, enabling faster and safer feature delivery. No production bugs fixed this month; focus was on documentation and knowledge transfer.
November 2025
October 2025
8 Commits • 3 Features
Oct 1, 20252025-10 monthly summary for DFE-Digital/education-benchmarking-and-insights: Delivered key data-pipeline enhancements and persistence updates that strengthen data reliability and business value. Implemented KS4ProgressBanding persistence and mapping into the NonFinancial table, enabling more accurate Progress8 reporting. Persisted SEN and EHCP pupil counts with a schema change and data mapping scripts, expanding metrics coverage. Improved data quality and pipeline robustness through URN normalization (ensuring URNs are integers in comparator sets) and strengthened comparator-set persistence, including handling of missing target URNs and ensuring both prepared data files are written. Introduced RunId-based filtering in ExpenditureService to ensure a single school is returned, reducing data inconsistencies. Added LA Homepage metrics documentation to guide tracking of user interactions and component usage. These changes collectively improve dashboard reliability, enable richer KPI analysis, and support governance with more trustworthy data.
October 2025
8 Commits • 3 Features
Oct 1, 20252025-10 monthly summary for DFE-Digital/education-benchmarking-and-insights: Delivered key data-pipeline enhancements and persistence updates that strengthen data reliability and business value. Implemented KS4ProgressBanding persistence and mapping into the NonFinancial table, enabling more accurate Progress8 reporting. Persisted SEN and EHCP pupil counts with a schema change and data mapping scripts, expanding metrics coverage. Improved data quality and pipeline robustness through URN normalization (ensuring URNs are integers in comparator sets) and strengthened comparator-set persistence, including handling of missing target URNs and ensuring both prepared data files are written. Introduced RunId-based filtering in ExpenditureService to ensure a single school is returned, reducing data inconsistencies. Added LA Homepage metrics documentation to guide tracking of user interactions and component usage. These changes collectively improve dashboard reliability, enable richer KPI analysis, and support governance with more trustworthy data.
September 2025
13 Commits • 7 Features
Sep 1, 2025September 2025 monthly summary for DFE-Digital/education-benchmarking-and-insights. Delivered targeted data pipeline enhancements and performance improvements that increase financial reporting accuracy, governance, and data-driven decision-making across academies, trusts, and federation. Notable work includes recalibration of academy total expenditure and total income, central expenditure apportionment refinements with tests and documentation, federation workforce metrics expansion, and major performance optimizations of RAG calculations. A BFR import path bug was fixed to ensure reliable module loading and ongoing data integrity.
13 Commits • 7 Features
Sep 1, 2025September 2025 monthly summary for DFE-Digital/education-benchmarking-and-insights. Delivered targeted data pipeline enhancements and performance improvements that increase financial reporting accuracy, governance, and data-driven decision-making across academies, trusts, and federation. Notable work includes recalibration of academy total expenditure and total income, central expenditure apportionment refinements with tests and documentation, federation workforce metrics expansion, and major performance optimizations of RAG calculations. A BFR import path bug was fixed to ensure reliable module loading and ongoing data integrity.
September 2025
August 2025
13 Commits • 2 Features
Aug 1, 2025Month: 2025-08 — Delivered structural improvements to the data pipeline, stabilized the RAG workflow, and enhanced documentation and PDF tooling. Key work includes modularizing the data pipeline, clarifying data flow, Dockerfile optimizations, RAG fixes and test cleanup, and comprehensive docs and PDF tooling enhancements. These changes improve data quality for CFR/AAR reporting, reduce pipeline fragility, and speed up build and deployment cycles.
August 2025
13 Commits • 2 Features
Aug 1, 2025Month: 2025-08 — Delivered structural improvements to the data pipeline, stabilized the RAG workflow, and enhanced documentation and PDF tooling. Key work includes modularizing the data pipeline, clarifying data flow, Dockerfile optimizations, RAG fixes and test cleanup, and comprehensive docs and PDF tooling enhancements. These changes improve data quality for CFR/AAR reporting, reduce pipeline fragility, and speed up build and deployment cycles.
July 2025
7 Commits • 4 Features
Jul 1, 2025July 2025 monthly summary for DFE-Digital/education-benchmarking-and-insights focused on observability enhancements, pipeline simplification, 2025 data-year readiness, and governance documentation. Delivered business value through improved traceability, reliability, and readiness for the 2025 data year across data ingestion, processing, and exports.
7 Commits • 4 Features
Jul 1, 2025July 2025 monthly summary for DFE-Digital/education-benchmarking-and-insights focused on observability enhancements, pipeline simplification, 2025 data-year readiness, and governance documentation. Delivered business value through improved traceability, reliability, and readiness for the 2025 data year across data ingestion, processing, and exports.
July 2025
June 2025
4 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary focusing on key accomplishments, with emphasis on delivering tangible business value through improved documentation, data pipeline enhancements, and architectural planning for future migrations.
June 2025
4 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary focusing on key accomplishments, with emphasis on delivering tangible business value through improved documentation, data pipeline enhancements, and architectural planning for future migrations.
Activity
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Quality Metrics
Correctness90.6%
Maintainability89.6%
Architecture88.0%
Performance84.2%
AI Usage20.6%
Skills & Technologies
Programming Languages
BashC#DockerfileHCLMarkdownPythonSQLShellTOMLTerraform
Technical Skills
API DevelopmentArchitectureArchitecture Decision RecordsAzureAzure Blob StorageBackend DevelopmentCI/CDCloud InfrastructureCode OrganizationCode RefactoringConfiguration ManagementData AnalysisData EngineeringData ModelingData Pipeline
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