Dan Mei
Performance Engineer at Salesforce
Bellevue, Washington, United States
Summary
👤
Senior🎓
Top SchoolDan Mei is a performance engineer with 13 years of experience building and scaling platform services at Salesforce, currently leading the Schema and Metadata performance team for customer-customizable core systems including Customer Data Platform (Genie). He specializes in end-to-end performance solutions—database and query tuning, JVM optimization, server tuning, and large-scale performance test frameworks—and has driven high-impact efforts across Customer 360, Pardot, OData, and Financial Services Cloud. Dan blends hands-on profiling and tooling (JMeter, LoadRunner, Splunk, Grafana) with technical leadership, routinely designing monitoring and observability pipelines that translate telemetry into actionable scale insights. His background includes deep exposure to Oracle/MySQL performance, large-scale data load and Lightning page optimization, and building in-house performance tooling that informed customer-facing SLAs. Trained at Carnegie Mellon and with early systems experience at VMware and research roles in China, he brings a research-informed, pragmatic approach to performance at enterprise scale. Colleagues rely on him not just for measurements, but for turning those measurements into concrete, production-ready fixes.
13 years of coding experience
8 years of employment as a software developer
B.S Information Engineering; Information & Communication Engineering, B.S Information Engineering; Information & Communication Engineering at Beijing University of Posts and TelecommunicationsM.S Information Networking Information Networking Institute, M.S Information Networking Information Networking Institute at Carnegie Mellon University
Github Skills (4)
einstein6
datasets4
analytics2
dataflow2
Programming languages (1)
Github contributions (4)
mdcoolcat/MessagePasser
Jan 2013 - Feb 2013
Contributions:61 commits in 23 days
mdcoolcat/check-flight
Jul 2012 - Jul 2012
Contributions:18 commits in 22 days
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