Brian Konzman
About Brian Konzman
Brian Konzman is a Senior/Lead Data Engineer at Komodo Health with extensive experience in data engineering roles at TiVo and Cisco. He holds a Bachelor's degree in Computer Science from Northern Kentucky University and is skilled in Apache Airflow, Python, and database management.
Current Position at Komodo Health
Brian Konzman currently holds the position of Senior/Lead Data Engineer at Komodo Health. Operating in a remote capacity from the United States, Brian works on data engineering projects, driving initiatives to leverage healthcare data effectively. His responsibilities include diagnosing Electronic Medical Record (EMR) issues and developing pipelines to target healthcare providers, which are then used by digital marketers.
Previous Experience at TiVo
Before joining Komodo Health, Brian Konzman worked as a Senior Data Engineer at TiVo. From 2020 to 2022, he was based in Durham, North Carolina. During his time at TiVo, Brian contributed to various data engineering projects, enhancing the company's data infrastructure and analytics capabilities over his two-year tenure.
Tenure at Cisco
Brian Konzman’s professional journey includes significant experience at Cisco. He served as a Data Engineer from 2018 to 2020 in the Raleigh-Durham, North Carolina Area. Prior to this, he completed a three-month Data Engineer Internship at Cisco in 2017. His roles involved developing and maintaining data pipelines and performing complex data engineering tasks, contributing to Cisco's data ecosystem.
Academic Background and Early Career
Brian Konzman attended Northern Kentucky University, where he earned a Bachelor's degree in Computer Science from 2015 to 2018. During his time there, he gained practical experience as an Undergraduate Researcher and Mobile Application Developer. Prior to his university education, he worked as an Advanced Repair Agent at Geek Squad.
Technical Expertise and Certifications
Brian Konzman possesses a range of technical skills and certifications. He is certified in Apache Airflow fundamentals and DAG authoring through Astronomer. In his current role, he has created custom Airflow operators and sensors, developed REST endpoints with FastAPI, and utilized SQLAlchemy and Snowflake for database management. His expertise includes using Pydantic for object modeling and validation, as well as managing packages with Poetry. He employs tools like Pytest and Coverage for testing and coverage metrics, and integrates MyPy, Ruff, and Git-Commit for linting, type checking, and ensuring commit quality. Additionally, he has leveraged probabilistic methods like Levenshtein distance and Soundex for data matching in Snowflake SQL.