Mark Yang
@markyang
I build scalable cloud data, AI, and real-time analytics platforms.
What I'm looking for
At Databricks, I architected scalable cloud data platform services, real-time analytics dashboards, and secure APIs handling millions of daily requests. I also led monolith-to-Kubernetes migrations, optimized Redis and PostgreSQL layers, and improved cluster performance by 20%.
Previously at MakerBot, I built embedded software, desktop tools, telemetry dashboards, and IoT data pipelines for 3D printing hardware and cloud products. I partnered across hardware, firmware, and cloud teams to enable remote device management, predictive maintenance, and reliable offline synchronization.
I began building enterprise backend services and cloud infrastructure tools at IBM, and I enjoy shaping technical roadmaps, strengthening engineering practices, and mentoring engineers on system design and test-driven development.
Experience
Work history, roles, and key accomplishments
Architected scalable cloud data platform services with distributed data processing pipelines, reducing query latency and improving throughput. Led migration to Kubernetes, implemented CI/CD, and mentored engineers.
Education
Degrees, certifications, and relevant coursework
Stony Brook University
Bachelor of Science, Computer Science
2012 - 2015
Pursued a Bachelor of Science in Computer Science, building a strong foundation in algorithms, data structures, and software development.
Availability
Location
Authorized to work in
Job categories
Skills
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