
Worked on the Meaningful-Data/vtlengine repository to deliver a DuckDB-only backend, replacing the previous pandas-based approach and refactoring the interpreter for a leaner, more maintainable core. Focused on backend development and data engineering, the work included aligning all tests and workflows to the new backend, simplifying configurations, and removing unused code. Enhanced the core engine by improving VTL execution, semantic analysis, and SQL transpilation, while also strengthening data validation and testing automation. Using Python, SQL, and YAML, these changes resulted in faster, more reliable data processing and established a streamlined foundation for future development and easier ongoing maintenance.
Meaningful-Data/vtlengine (May 2026) delivered a DuckDB-only backend with a leaner interpreter, plus major core engine enhancements and testing workflow improvements. This reduced pandas dependencies, simplified configurations, and tightened test feedback loops, delivering faster, more reliable data processing and easier future maintenance.
Meaningful-Data/vtlengine (May 2026) delivered a DuckDB-only backend with a leaner interpreter, plus major core engine enhancements and testing workflow improvements. This reduced pandas dependencies, simplified configurations, and tightened test feedback loops, delivering faster, more reliable data processing and easier future maintenance.

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