• Developing and maintaining our business critical ETL pipeline and scheduler in Python/BigQuery, as well as its UI built on React.

• Building a foundation for scaling data science, such as enabling Spark job submission and hosting JupyterLab instances on DataProc clusters.

• Collaborating with air quality scientists to build a data quality/data visualization engine to detect anomalous behavior in our data.

• Leading an effort to reorganize our data warehouse to align further with industry and academic air quality sensor data research.

• Mentoring engineers and supporting their efforts on large, impactful projects.

• Modernizing our use of Google Cloud Platform assets, using Terraform, and reinforcing our security posture across multiple projects.

• Created features to improve plasmid registration process on our LIMS, using TypeScript and custom design templates in KnockoutJS.

• Enhanced antibody physical/chemical properties calculations, such as new methods and configurability for isoelectric point and extinction coefficient.

• Participated in rigorous code review process, maintained organized branching standards, and stuck to an agile methodology.

• Contributed to a general .NET architecture for other developers to use in their client specific projects.

• Use .NET Framework, TypeScript, KnockoutJS, Bootstrap, Postgres on a daily basis.

• Developed new enhancements and maintain legacy systems.

• Migrated new and legacy applications onto Azure services, such as Azure App Service and SQL Azure.

• Integrated 3rd party supplied systems and data feeds.

• Architected solutions to a range of problems from styling minutia to large scale app refactor/redesign.

• Used .NET Core MVC, C#, TypeScript, Dapper, Bootstrap, Kendo, SQL Server on a daily basis.

• Architected a crawler for formatting and loading SEC documents into on-premises and Azure DataLake for analysis in a workflow application.

• Created a word embeddings model, using Gensim, trained on investment management agreements to identify most similar text from past agreements.

• Performed an exploratory data analysis on environment, social, and governance (ESG) data and presented to the head of sustainability research.

• Developed an NLP model drift monitoring application, hosted on Docker containers, and deployed through custom-built DevOps pipelines using Azure resources.

• Engineered a data-driven application for identifying real estate opportunities for the alternative investments team.