Gerald Britton is a seasoned database and BI specialist with 18+ years designing high-performance SQL Server solutions, building .NET delivery layers, and automating reporting pipelines for enterprises like TD and MTS Allstream. He blends deep hands-on SQL optimization and SSIS/SSRS expertise with object-oriented .NET design and SDLC discipline to deliver robust, extensible systems that reduce processing time and operational overhead. As a Pluralsight author on Design Patterns with Python and an active GitHub contributor, he also brings practical Python experience and has improved reliability in notable open-source projects like Gramps. Gerald’s consulting work and leadership roles show a consistent track record of turning messy operational data into timely, actionable intelligence while coaching teams and documenting solutions for long-term maintainability.
17 years of coding experience
14 years of employment as a software developer
Bachelor of Science (B.Sc.), Computer Science, cum laude, Bachelor of Science (B.Sc.), Computer Science, cum laude at University of Toronto
PhD, Error Correction, PhD, Error Correction at The School of Hard Knocks
Contributions summary:Gerald's commits focus on optimizing code related to handling null values in the `ImportCSV.py` file. These changes involve modifying code within the `CSVParser` class to handle cases where identifiers are null, improving the reliability of the genealogy import process. The user further addressed issues with data serialization and pickling within the `grampstype.py` and `eventref.py` files, ensuring proper data handling. Finally, the user fixed an indexing error in the `_CommandLineReport.py` file and a typo in the `NarrativeWeb.py` file.
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Gerald Britton - Author at G.Britton Solutions, Inc.