Christian Gettermann

Christian Gettermann is an experienced people, project, and client manager who transitioned to become a data engineer.

With five years of experience in human resources consulting, Christian has held various roles from an analyst to managing and leading research and advisory practices, eventually overseeing all client project delivery.

Christian's clientele included leading banks, consultancies, government departments, law firms, engineering, and FMCG businesses.

Passionate about using data to solve complex business problems, Christian pursued a career transition into data engineering and is currently employed at Kubrick Group as a data engineer, working on a full-time client placement in the reinsurance industry.

His core responsibilities encompass designing, building, and managing ETL pipelines for analysis, modeling, and visualization, leading efforts to construct an AWS-based analytics environment, and performing ad-hoc data staging based on business requirements.

Christian's proficient tech stack includes Python, SQL (Redshift, Microsoft SQL), and AWS services like S3 and SageMaker.

He holds a BA in International Politics and Economics, with a focus on Chinese Language, Magna Cum Laude from Middlebury College, and has also studied at the Middlebury School in China - Beijing.

In his professional journey, Christian has held positions such as Head of Delivery, Research and Advisory Manager, Senior Analyst, and Analyst at The Smarty Train, as well as roles at The Edge Learning Center, CRCC Asia, and as a Research Assistant to Professor Jessica Teets at Middlebury College.