Rusty Wickell
About Rusty Wickell
Rusty Wickell is a Senior Software Engineer specializing in Data Infrastructure at Doximity, where he has worked since 2019. He holds a Bachelor's degree in Music Performance from Louisiana State University and a Master's degree in Music Performance from Indiana University Bloomington.
Work at Doximity
Rusty Wickell has been employed at Doximity as a Senior Software Engineer in Data Infrastructure since 2019. He works remotely from New Harmony, UT. In this role, he utilizes technologies such as Amazon EMR, SnowFlake, Airflow, and Terraform. His responsibilities include maintaining and enhancing data infrastructure to support the company's operations.
Education and Expertise
Rusty Wickell holds a Bachelor's degree in Music Performance from Louisiana State University, where he studied from 1987 to 1991. He furthered his education at Indiana University Bloomington, earning a Master's degree in Music Performance from 1994 to 1999. His academic background is complemented by his expertise in software engineering and data infrastructure.
Previous Employment History
Prior to his role at Doximity, Rusty Wickell worked at LinkedIn as a Senior Operations Engineer from 2014 to 2019. He also served as a Production SRE for a brief period in 2019. His earlier experience includes working as a Digital Library System Administrator at Indiana University from 1999 to 2000 and as an Independent Contractor at Mercury Interactive in 2002.
Technical Contributions and Projects
In his current position, Rusty Wickell has been responsible for upgrading the PySpark/Jupyter environment to ensure HIPAA compliance. He has also designed a platform for custom graph algorithms on PySpark using graphframes. Additionally, he has been involved in updating the CircleCI CICD pipeline to produce Python environment artifacts for PySpark EMR jobs.
Presentations and Conferences
Rusty Wickell presented a project at SRECon 2017, where he focused on operational machine learning. This presentation showcased his insights and contributions to the field of site reliability engineering and machine learning applications.