Lee Hampton
Senior Consultant at Lee A. Hampton Consulting, LLC
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolLee Hampton is a Senior Consultant and property tax specialist with 12+ years of experience blending technical problem-solving and public-sector expertise from New York. He leads his own consulting practice reviewing and appealing taxable assessments across Illinois, drawing on a long career at state and private agencies where he managed appeals, trained teams, and helped redesign agency systems. Unusually for a property tax professional, he has contributed back-end and database improvements to an open-source timeseries benchmarking tool (Timescale's tsbs), adding sharding, prewarm-query flags, and replication stats to improve database testing and cache performance. That mix of hands-on data tooling and deep subject-matter expertise enables him to translate complex assessment data into actionable appeals and system improvements for clients and legal partners.
12 years of coding experience
Master of Science, Real Estate, Master of Science, Real Estate at Roosevelt University
Github Skills (14)
database-tuning10
timescaledb10
benchmarking10
benchmark10
go10
postgresql10
database-design10
database-optimization10
sql9
csv9
mongodb-database8
cassandra8
mongodb8
influxdb8
Programming languages (7)
Github contributions (5)
timescale/tsbs
Feb 2018 - Apr 2019
Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data
Role in this project:
Back-end & Database Engineer
Back-end & Database EngineerContributions:28 commits, 6 PRs, 10 pushes in 1 year 2 months
Contributions summary:Lee primarily contributed to the TimescaleDB benchmark suite, focusing on enhancements to the database loading and query execution functionalities. Their work includes the addition of features such as replication statistics collection for TimescaleDB loaders, which involved adding new code and modifying existing ones. Furthermore, the user introduced capabilities for sharding database connections and implemented a prewarm-queries flag to improve cache performance. These changes aimed to enhance the testing and benchmarking capabilities of the suite.
databasedatabasestime-seriesbenchmarkingtimescaledb
timescale/streaming-replication-docker
Feb 2018 - Mar 2018
TimescaleDB Streaming Replication in Docker
Contributions:13 commits, 1 push, 1 branch in 21 days
dockerreplicationtimescaledb
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