
Worked on reorganizing the equinor/fmu-dataio codebase to improve maintainability and collaboration. Consolidated common data models into a dedicated directory, updating schema references and version numbers across metadata files to align with the new structure. This restructuring, implemented using Python and YAML, clarified the project’s architecture and reduced coupling between components. The changes laid a foundation for easier onboarding and future automation by making updates and refactoring more straightforward. Focused on data modeling and software architecture, the work addressed cross-team coordination challenges and set the stage for more reliable feature delivery without introducing new bugs during the development period.
Month 2025-12: Focused on improving maintainability and collaboration for equinor/fmu-dataio through codebase reorganization and metadata alignment. Consolidated common models into a dedicated directory and updated schema references and versioning across metadata to reflect the new structure. This groundwork reduces future refactoring costs, accelerates onboarding, and enables more reliable feature delivery.
Month 2025-12: Focused on improving maintainability and collaboration for equinor/fmu-dataio through codebase reorganization and metadata alignment. Consolidated common models into a dedicated directory and updated schema references and versioning across metadata to reflect the new structure. This groundwork reduces future refactoring costs, accelerates onboarding, and enables more reliable feature delivery.

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