Remote: Yes
Willing to relocate: yes
Technologies: dbt, Spark, Kafka, Docker, Airflow, Terraform, AWS, Azure, FastAPI, helm, git, copilot/cursor/claude code
Resume: https://drive.google.com/file/d/1dwt_w0cFJp0SSeac-bsu1XhzNPa...
Email: shryunl@smu.edu
About:
I am a Data Engineer currently at Tesla, where I focus on building scalable backend services and automated workflows for global battery operations. I have experience migrating legacy systems into unified architectures and deploying secure APIs via Kubernetes.
Previously, I built automated pipelines at Samsung Electronics and designed end-to-end Azure solutions at 3E Management. I enjoy bridging the gap between raw data and business intelligence through robust ETL/ELT pipelines and predictive modeling. I'm looking for roles where I can leverage my experience in Python, cloud infrastructure, and data orchestration to solve complex engineering challenges.
Open to junior to mid level Data Engineer or SWE positions