Self-motivated data engineer building scalable pipelines, optimizing cloud infrastructure, and turning raw data into reliable, high-quality assets. Passionate about clean architecture, automation, and making data work at scale.
I'm a Data Engineer at Brose Group with a passion for building robust, scalable data infrastructure. I specialize in designing end-to-end pipelines — from ingestion to transformation to serving — with a strong focus on reliability, cost efficiency, and clean architecture.
With hands-on experience in PySpark, AWS Glue, DBT, Dagster, and Apache Iceberg, I've delivered pipelines that cut cloud costs by 45% and brought Medallion Architecture to production. Great data engineering is invisible — it just works.
I'm open to data engineering roles, freelance projects, and interesting pipeline challenges. If you have a data problem worth solving — let's talk.