Noah Yasarturk

Noah Yasarturk

Cloud Data Engineer @ Brooksource

About Noah Yasarturk

Noah Yasarturk is a Cloud Data Engineer at Brooksource, where he has worked remotely since 2021. He holds a Bachelor of Applied Science in Computer Science from Georgia State University and has previous experience as a Data Engineer and Software Engineer.

Work at Brooksource

Noah Yasarturk has been employed at Brooksource as a Cloud Data Engineer since 2021. In this role, he works remotely and has accumulated three years of experience in cloud data engineering. His responsibilities include developing and implementing cloud-based solutions, focusing on data management and analytics.

Education and Expertise

Noah Yasarturk studied at Georgia State University, where he attended the Honors College and earned a Bachelor of Applied Science in Computer Science from 2015 to 2019. He also pursued graduate studies in Computer Science at Georgia State University during the same period. His educational background provides a strong foundation in software development and data engineering.

Background in Data Engineering

Prior to joining Brooksource, Noah Yasarturk worked as a Data Engineer at Astral Brands from 2020 to 2021, where he focused on data management solutions. He also served as a Software Engineer at Mindtree for nine months in 2019 to 2020, and briefly as a Contract Software Engineer at Vetek Consulting in 2019. His experience spans various roles in software and data engineering.

Technical Contributions

Noah Yasarturk has made significant contributions to technical projects throughout his career. He enhanced a Python framework to facilitate the export of billions of records from on-premises RDBMS tables to AWS S3, ensuring data fidelity and security in healthcare. Additionally, he developed a configuration-based framework in Airflow to support cloud replication of on-premises data, aiding in the migration of Big Data analytical systems to the cloud.

Data Quality Analysis and Documentation

In his roles, Noah Yasarturk performed data quality analysis using Python, Databricks, and SQL, maintaining high standards for existing and new systems. He also consolidated technical work into comprehensive documentation, including process flows, high-level architecture, and implementation guides, which are essential for project clarity and continuity.

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