Ryan Haarmann
About Ryan Haarmann
Ryan Haarmann is a Data Engineering Manager at Doximity, where he has worked since 2022. He has extensive experience in data engineering, having held various roles at companies such as Six Foot, Hostgator.com, and Pathway Forensics LLC.
Current Role at Doximity
Ryan Haarmann serves as the Data Engineering Manager at Doximity, a position he has held since 2022. In this role, he oversees data engineering projects and manages a team of engineers. His responsibilities include ensuring the efficiency and effectiveness of data processes, as well as mentoring junior engineers. Ryan's leadership is characterized by a focus on improving data management practices and fostering a collaborative work environment.
Previous Experience at Doximity
Prior to his current role, Ryan Haarmann worked at Doximity as a Senior Data Engineer from 2020 to 2022. During this time, he contributed to various data projects, utilizing his expertise in data extraction and analysis. He also held the position of Data Engineer at Doximity from 2018 to 2020, where he focused on developing data solutions and optimizing data workflows.
Professional Background
Ryan has a diverse professional background in data engineering and related fields. He began his career at Kroger, working as a Grocery Clerk and Dairy Clerk. He then transitioned to technical roles, including positions at Sam Houston State University as a Linux Student Worker and Software Packager. His experience also includes working at Hostgator.com as a Linux Administrator I and Migrations Shift Leader, as well as roles at Insperity and Pathway Forensics LLC.
Education and Expertise
Ryan Haarmann holds a Bachelor of Science degree in Computer Science with a focus on Information Assurance from Sam Houston State University, which he completed from 2008 to 2011. He also earned an Associate's degree in Computer Systems Networking and Telecommunications from Lone Star College System in 2008. His technical expertise includes proficiency in a range of technologies such as Docker, Kubernetes, AWS, Python, Spark, and Kafka. He specializes in extracting and defining metrics from various data formats, including JSON, Avro, Parquet, and CSV.
Mentorship and Passion for Big Data
Ryan is committed to mentoring other data engineers, sharing his knowledge and experience to help them grow in their careers. He has a strong passion for Big Data technologies and actively seeks ways to enhance the speed, readability, and usability of data processes. His dedication to continuous improvement in data engineering practices is evident in his approach to both mentorship and project contributions.