• Coordinated efforts to design, implement, and service Python-driven workflows leveraging Jenkins and Postgres SQL data servers, simultaneously integrating proprietary business software.• Maintained multiple Microsoft Power Automate workflows to streamline SharePoint data integration, business-oriented calculations, real-time applications, and server based storage.• Lead on efforts to standardize and evolve servicing infrastructure using GitHub and ETL libraries.

• Constructed numerous data pipelines with Please Build, Jenkins, and Airflow to automate DevOps testing and deployment, improving version control and accelerating our CI/CD workflow to support scheduled reporting.• Integrated several millions of disparate datapoints into a centralized AWS data warehouse including on-prem server migration with Airflow, optimizing data deliverables via S3 ingestion to Databricks ETL.• Lead in efforts to manage over a dozen Python-based reports which provide key insights and analytics metrics to support stakeholders. This was accomplished through team delegation utilizing an Agile-based framework including Jira and Confluence, as well as cross-team collaboration to align expectations.• Championed initiatives to enhance reporting capabilities across existing and new applications, including graphics, slide deck generation, export functionality of raw data, and filters. Tools include Python frameworks/modules, SQL, HTML scripting, and CSS for managing frontend element design.

• Conducted extensive benchmarking of algorithms to gain a deeper understanding of scientific phenomena, including their application to theoretical concepts and real-world engineering.• Utilized Python to automate the curation of test data for computational calculations on the university's supercomputer, which streamlined the processing of data points across various methodologies.• Collaborated with team of researchers to gain a better understanding of machine learning and stochastic applications with Python to enhance the accuracy of analyzing computer modeling data.• Composed technical documentation to disseminate highly technical theories and results to a wide audience.