Full-stack engineer (Java/Typescript/Angular/NgRx) for blockchain and cryptocurrency management within Fidelity.

I serve a key role ensuring the success of data engineering projects, applying my skills in Python and other tools.I supported research at the Zugspitze-Schneefernerhaus environmental research station just below the summit of Zugspitze in the Alps. There, I used Python and D3js to create data analysis tools and a central database to support the automated plotting and reporting of the atmospheric data gathered from instruments at the station. The Zugspitze-Schneefernerhaus project involved approximately 10,000 lines of code. Additional information and full source code available at https://github.com/brendano257/Zugspitze-SchneefernerhausMy other achievements include the development of the DataSelector data visualization tool in D3js that assists with the manual inspection and filtering of data. The tool enables the selection of data points, viewing of configured metadata, and output of JSON files that are used to filter or edit data. Source code and example available at https://github.com/brendano257/DataSelectorI also developed BoulderAIRAnalysis, a highly-configurable tool that processes atmospheric data from over a dozen instruments along the Front Range of Colorado into a single database, and provides a framework for analysis, visualization, and data quality control. BoulderAIRAnalysis encompasses about 12,000 lines of code, including a test suite of the project's core functionality.

Here, I was promoted from undergraduate research assistant to professional research assistant.I was responsible for data management and analysis in the Atmospheric Research Lab. I learned MATLAB and Python on my own initiative in order to build real-time processing scripts for data analysis, quality control, error-management, and online display of atmospheric data from remote locations.I led the processing and visualization of data in support of multiple concurrent projects, developing publication-ready data visualizations using Python, MATLAB, and Microsoft Excel.I also performed the investigation and automated resolution of instrument malfunctions using real-time quality checks and data visualizations.My scope of responsibility also included writing and proofreading scientific pieces for academic presentations and publications.In Summer 2018, I supported field work in Alaska and organized field campaigns including securing FAA approval for conducting measurements from a tethered balloon.

I worked as a student data processor in Excel and MatLab, performing analyses on atmospheric data to create visuals for publications, website content, and internal data verification.