WORK EXPERIENCE
Amgen - Chicago, IL
Senior Data Engineer
October 2023 - Present
- Developing and maintaining a multi-cloud data platform
- Leading the development of new internal tools to enhance operational efficiency
- Building a custom orchestrator to decrease data turnaround times from days to hours
- Guiding direct reports in crafting impactful software solutions
Horizon Therapeutics - Chicago, IL
Senior Data Engineer
July 2022 - October 2023
- Facilitated a smooth transition of an upgraded data format
- Expanded data coverage by integrating additional sources, ensuring comprehensive insights
- Oversaw and mentored a summer intern in successfully developing an internal doctor lookup tool
Data Engineer II
July 2021 - July 2022
- Increasing scalability using a multi-cloud platform
- Continue MDM project development with stakeholders across analytics departments
- Managing and improving the scalability and capabilities of the data science platform
- Improving ETL pipelines with new features and data sources
Data Engineer
January 2020 - June 2021
- Decreased processing time by 5x of monthly deliveries of 10B rows of data
- Designed, built, and maintained multiple MDM projects improving organizational clarity of data sets
- Developed automated data pulls using Selinium
Contractor
August 2019 - December 2019
- Migrated on premises distributed computing environment to GCP to increase platform scalability
Software Developer and Data Engineer - Chicago, IL
Contractor
June 2018 - August 2019
- Developed data warehouses for several projects
- Designed and implemented web scraper in Python
Clarkson University - Potsdam, NY
Statistics Teaching Assistant
Sep. 2017 - May 2018
- Explained technical statistical concepts to students in clear comprehensible terms
- Developed course curriculum
EDUCATION & TECHNICAL SKILLS
Clarkson University - Potsdam, NY
MS, Applied Data Science
May 2017
BS, Computer Science
May 2018
Computer Science
Git, Python, Go, SQL, noSQL, C++, APIs, RESTful Interfaces, Django, Flask, Linux, HTML, CSS, and Machine Learning
Data Management
GCP (compute, storage, dataproc), AWS (S3, EC2, Lambda), MongoDB, Pyspark, Spark, SQL Server, Selinium, Tableau, Docker