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Marion Holloway

PROFILE

Marion Holloway

Marion Holloway engineered robust data pipelines and infrastructure for the NMDSdevopsServiceAdm/DataEngineering repository, focusing on data quality, validation, and deployment reliability. She refactored core ETL processes, modularized code for maintainability, and implemented postcode correction workflows using Python, PySpark, and Terraform. Her work included enhancing CI/CD pipelines, automating infrastructure provisioning, and expanding test coverage to ensure safe, repeatable deployments. Marion introduced schema evolution, error handling, and data imputation strategies to improve data integrity and operational resilience. By integrating AWS Glue and Step Functions, she enabled configurable, scalable batch processing, demonstrating depth in cloud engineering and a strong commitment to code quality.

Overall Statistics

Feature vs Bugs

75%Features

Repository Contributions

388Total
Bugs
42
Commits
388
Features
126
Lines of code
15,576
Activity Months6

Work History

October 2025

55 Commits • 14 Features

Oct 1, 2025

October 2025 performance summary for NMDSdevopsServiceAdm/DataEngineering focusing on delivering business value through data quality improvements, configurability, and reliable CI/CD readiness. Achievements include implementing a Postcode Corrections dictionary with CSV-based loading (and URI support) plus tests; enhancing argument configurability across Glue, Terraform, and job args; extending postcode-related configuration with an argument to the create_postcode_dim function; expanding test coverage and test data management; and improving documentation, code quality, and packaging to support maintainability and deployment resilience.

February 2025

20 Commits • 3 Features

Feb 1, 2025

February 2025 monthly summary for NMDSdevopsServiceAdm/DataEngineering: Delivered key data quality and deployment reliability improvements through postcode dictionary enhancements, CI/CD alignment to main, and comprehensive CQC location data cleaning with imputation and schema updates. These changes tightened data integrity, reduced lookup errors, and stabilized release processes for primary development work.

January 2025

73 Commits • 33 Features

Jan 1, 2025

Month: 2025-01 — NMDSdevopsServiceAdm/DataEngineering. Focused on increasing maintainability, data quality, and delivery velocity for LM engagement features. Delivered modular code, validated data pipelines, and updated schemas while strengthening test coverage and aligning infra. Key deliverables span code refactors, data validation/schema enhancements, test modernization, and targeted deployment/infra improvements, all aimed at reducing risk and accelerating future iterations for data engineering workflows.

December 2024

65 Commits • 27 Features

Dec 1, 2024

December 2024 monthly summary for NMDSdevopsServiceAdm/DataEngineering. Focused on hardening the data ingestion and processing pipelines, strengthening data governance, and expanding infrastructure automation. Delivered end-to-end validation, robust error handling, and schema consistency across components, enabling safer deployments and faster issue resolution. Demonstrated strong emphasis on reliability, data quality, and repeatable operations through IaC and comprehensive tests.

November 2024

146 Commits • 41 Features

Nov 1, 2024

In November 2024, NMDSdevopsServiceAdm/DataEngineering delivered a reliable data orchestration and batch-processing foundation, strengthened testing stability, and improved data quality and observability. Key work spanned Step Function reliability enhancements, batch workflow infrastructure, archiving plan improvements, data dataset updates, and code quality/documentation improvements that reduce maintenance cost and accelerate future delivery.

October 2024

29 Commits • 8 Features

Oct 1, 2024

October 2024 – NMDSdevopsServiceAdm/DataEngineering: Implemented unit test scaffolding for the rolling average function, stabilized tests, and shipped CI and infrastructure scaffolding to support batch processing. Completed data schema/metrics enhancements, archive/dataset management updates, and robust code quality improvements. Resolved key stability bugs and improved maintainability, test reliability, and business value of data pipelines.

Activity

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Quality Metrics

Correctness88.8%
Maintainability90.4%
Architecture85.6%
Performance82.0%
AI Usage20.2%

Skills & Technologies

Programming Languages

CSVDockerfileHCLJSONMarkdownPythonSQLTOMLTerraformYAML

Technical Skills

API Integration TestingAWSAWS GlueAWS LambdaAWS S3AWS Step FunctionsBackend DevelopmentBoto3CI/CDCSV ParsingCSV ProcessingClean Code PracticesCloudCloud ComputingCloud Engineering

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

NMDSdevopsServiceAdm/DataEngineering

Oct 2024 Oct 2025
6 Months active

Languages Used

HCLPythonJSONSQLTOMLTerraformYAMLMarkdown

Technical Skills

AWS GlueAWS Step FunctionsCode CleanupCode FormattingData EngineeringData Processing

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