James Kang
Data Engineer
Building scalable data pipelines and infrastructure. Passionate about turning data into insights and solving complex engineering challenges.
About Me
I'm a Data Engineer at BILL currently, where I design and maintain batch and streaming pipelines that power data-driven decisions across the organization. I specialize in building reliable, scalable data infrastructure using AWS, Apache Kafka, Flink, and modern ETL tools.
Previously at Avant, I worked as a Software Developer building full-stack features and integrating machine learning models into production systems. I enjoy the intersection of data engineering, software development, and solving real-world problems at scale.
When I'm not building pipelines, I'm learning about new technologies, writing about my experiences, and contributing to open-source projects.
Data Infrastructure
Designing and scaling real-time streaming pipelines with AWS Kinesis, Kafka, and Flink
Cost Optimization
Achieved 20%+ quarterly AWS cost savings through workload tuning and optimization
Full-Stack Development
Building end-to-end features with Kotlin, React, Kubernetes, and modern APIs