Diego Argueta - Software Engineer

Diego Argueta

Software Engineer

Revere, Massachusetts, United States

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Summary

👤

Senior

🎓

Top School

Diego Argueta is a software-minded electrical engineer with 11 years of hands-on experience and a recent BS in Electrical Engineering from Wentworth Institute of Technology. He blends low-level programming instincts and Python expertise—contributing to notable open-source projects like PyFilesystem and the sqlalchemy-redshift dialect, where he added Parquet/ORC support and improved testing infrastructure. At MassDOT he applied CAD and regulatory review skills to highway design updates, demonstrating an ability to move between embedded systems, real-world test equipment, and large-codebase backend work. Comfortable with tools from AutoCAD and MATLAB to oscilloscopes and pytest, he focuses on reliable, maintainable engineering solutions. Colleagues describe him as detail-oriented and collaborative, eager to learn in fast-paced teams. An interesting thread through his work is a penchant for bridging high-level Python automation with low-level resource and memory management.

11 years of coding experience

Bachelor of Science - BS, Electrical Engineering, Bachelor of Science - BS, Electrical Engineering at Wentworth Institute of Technology

Github Skills (16)

databases10

amazon-redshift10

sqlalchemy10

pytest10

sql10

python10

relational-databases10

sql-database10

database10

testing10

test-automation9

ftp9

filesystem9

memory-management9

enums7

Programming languages (9)

JavaC++CRustPLpgSQLJavaScriptGoLua

Github contributions (5)

sqlalchemy-redshift/sqlalchemy-redshift

Nov 2018 - Apr 2019

Amazon Redshift SQLAlchemy Dialect

Role in this project:

Backend Developer

Contributions:6 commits, 6 PRs, 17 comments in 5 months

Contributions summary:Diego significantly contributed to the sqlalchemy-redshift project by implementing features and making enhancements to the Amazon Redshift dialect. They added support for new file formats (Parquet, ORC) and the `REGION` argument for the `COPY` and `UNLOAD` commands, expanding the functionality of the dialect. Further contributions include support for the `ALTER TABLE APPEND` command. Moreover, they addressed compatibility issues by officially supporting Python 3.7.

pythondialectsqlalchemyredshiftpylint

PyFilesystem/pyfilesystem2

Jul 2019 - Nov 2019

Python's Filesystem abstraction layer

Role in this project:

Back-end Developer & QA Engineer / Test Automation Engineer

Contributions:9 reviews, 6 commits, 8 PRs in 3 months

Contributions summary:Diego contributed to the project by implementing features related to memory management in the filesystem, specifically within the MemFS and FTPFS modules. They addressed bugs, handled potential errors like EOFError, and ensured proper resource release. Furthermore, the user migrated tests to the Pytest framework, contributing to improvements in the testing infrastructure, including mocking AppDir directories, adding slow markers, and enabling branch coverage.

pythonfatpyfilesystem2zippyfilesystem

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