Nathaniel Castor

I'm a senior data engineer for a major clothing company in Denver. I work in Microsoft Azure primarily using Databricks, Data Factory and Snowflake.

At AdviNow I developed a back end framework for an image recognition AI system that helps diagnose conditions in patients. I also contributed heavily to an API that connected our database to online electronic health record databases.

Klickly is an impulse-payments solution for in-advertising experiences. Publishers, brands, agencies, and influencers use Klickly’s proprietary buy button technology to hyper-charge and commerce-enable their marketing messages. For Klickly I've built a flexible and robust internal reporting dashboard from scratch. My back-end consumes a variety of data from multiple APIs. It consists of a Django API hosted on AWS Beanstalk, and separately uses AWS Lambda functions triggered by CloudWatch to consume other API data. The front-end is a data visualization tool, Metabase, used to access data and display that data in useful business relevant "stories" via consumable charts in relevant business dashboards that I've designed. The charts are the visualization derived from complex SQL queries on my Postgres database. I also often implement the use of Python libraries (NumPy and Pandas) in Jupyter notebooks to manipulate data in order to clean the data, and run scripts to create automated reports and prepare data for machine learning algorithms.