Summary
Jingyun Chen is a Senior Data Engineer with eight years of experience building production-grade Azure Databricks Lakehouse platforms and real-time streaming pipelines for IoT telemetry and customer-facing analytics. She architects high-throughput ingestion and transformation systems using Structured Streaming, Auto Loader, Delta Lake, and Delta Live Tables, delivering sub-hour freshness SLAs while driving cloud cost optimizations of 50%+. Beyond core pipelines she develops data products and interactive Plotly Dash apps that replaced legacy tools and cut licensing costs by ~30%, and she’s implemented governed data practices with Unity Catalog and Delta Sharing POCs. Comfortable spanning on-prem to cloud architectures, she also builds resilient preprocessing services and CI/CD automation for reliable 24/7 operation. Her background in mechanical engineering and data science informs pragmatic solutions for time-series and telemetry challenges, including dynamic resampling techniques for high-performance visualization.
8 years of coding experience
4 years of employment as a software developer
Master of Science in Mechanical Engineering Mechanical Engineering, Master of Science in Mechanical Engineering Mechanical Engineering at University of Washington
Master's degree Data Science, Master's degree Data Science at The University of British Columbia
Bechalor of Science in Mechanical Engineering Mechanical Engineering, Bechalor of Science in Mechanical Engineering Mechanical Engineering at Northern Arizona University
English, Chinese