SPEAKER
Junyoung
Chang

/
Staff Data Engineer, MUSINSA
Junyoung Chang is a Data Engineer at Musinsa, Korea's leading fashion platform, where he drives the architecture behind one of Asia's most complex e-commerce data ecosystems. Over the past years across quick-commerce, e-commerce, crypto platforms, EV mobility and fashion tech, he has built critical data infrastructure from zero, spanning real-time pipelines, lineage systems, schema management, and semantic layers, with a consistent focus on solving the productivity-latency-cost trilemma that most data teams quietly accept as inevitable.
His broader mission is empowering every colleague to access trusted data easily and accurately, turning data-driven decisions into an organizational default rather than a privilege.
His broader mission is empowering every colleague to access trusted data easily and accurately, turning data-driven decisions into an organizational default rather than a privilege.
Junyoung's sessions
Junyoung will be contributing to these sessions at Data + AI Summit 2026:
Data Warehousing
How Musinsa Built a Self-Optimizing Semantic Layer on Databricks
Previous events
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