Manfred Lee is a Staff Data Engineer based in the Greater Vancouver area with 8 years of experience designing and operating large-scale ETL/ELT and ML systems across AWS and Kubernetes. He has led teams and programs—overseeing data platforms, streaming pipelines (Kafka, Spark, Flink), and Trino-based ELT—delivering real-time IoT and mobile event processing at million-records-per-day scale. Comfortable across the full stack, he builds production ML services, RESTful APIs, and data warehouses using tools like dbt, Flyway, Redshift/Aurora, and Airflow. His background in economics and actuarial science informs a metrics-driven approach to data quality and product-facing analytics. Notably, he has practical experience turning computer vision and NLP models into low-latency services for high-volume e-commerce and device-telemetry use cases.
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