Howard Lee
MongoDB DBA at Scale AI
Bellevue, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolHoward Lee is a seasoned MongoDB DBA with over a decade managing large-scale NoSQL environments for global platforms, most notably at Expedia where he ran 500+ clusters and 2+ PB of data. He combines deep MongoDB expertise with AWS infrastructure and automation (Ansible, Python) to deliver measurable outcomes—50% lower query latency, 99.99% uptime, and $2M in annual savings through consolidation and cost optimizations. Skilled in sharding, indexing, replication tuning, and storage tiering, he reliably shrinks CPU use, replication lag, and maintenance windows while boosting resilience and observability. A pragmatic leader and mentor, he built automated pipelines that cut manual effort by 70% and trained cross-functional teams to reduce incidents and MTTR. Now based in Bellevue and currently at Scale AI, he brings a rare mix of hands-on operational rigor and strategic cost-conscious architecture. Beyond metrics, Howard’s knack for turning chaotic, underutilized estates into efficient, predictable platforms is a consistent differentiator.
11 years of coding experience
12 years of employment as a software developer
BS, Computing Software and System, BS, Computing Software and System at University of WashingtonBachelor of Science, Computational Science, Bachelor of Science, Computational Science at University of Washington Bothell
Github Skills (31)
sink10
stream10
aerospike10
data-stream9
pipeline9
streaming-data9
database9
mongodb9
database-access8
rbac7
security7
firewall7
audit7
ssh7
pam6
Programming languages (3)
Github contributions (5)
howardkhl/sysbench-mongodb
Mar 2015 - Mar 2015
Contributions:7 pushes in 12 days
benchmarksysbenchmongodb
yougov/mongo-connector
Sep 2015 - Jan 2022
MongoDB data stream pipeline tools by YouGov (adopted from MongoDB)
Contributions:1 review, 12 comments, 3 issues in 6 years 5 months
sinkstreaming-datapipelinedata-streamconnector
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