David Norton

Director Of Engineering at InfluxData

Charlotte, North Carolina, United States
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Summary

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Rockstar
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David Norton is a seasoned engineering leader with 12 years in software and over a decade of deep experience at InfluxData, where he now oversees engineering for InfluxDB across clustered, edge, community, and enterprise products. He combines hands-on backend and database engineering—contributing to core InfluxDB features like user management, auth, meta services, snapshotting, and continuous queries—with proven people leadership as Director of Engineering. Based in Charlotte, he has progressed from senior engineer and tech lead roles into strategic management, running multiple product lines including Telegraf and cloud integrations such as Amazon Timestream for InfluxDB. His background spans large-scale time-series systems and developer-facing tooling, demonstrating both product-minded architecture and low-level systems work. Colleagues rely on him for operational pragmatism and steady delivery of robust, scalable datastore features used broadly in observability and real-time analytics.
code12 years of coding experience
job29 years of employment as a software developer
bookUniversity of North Carolina at Charlotte
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Github Skills (15)

timeseries-database10
databases10
authentication10
user-authentication10
time-series10
go10
influxdb10
database-design10
database10
authorization9
bcrypt9
database-administration9
authorizations9
api8
apidoc8

Programming languages (13)

C#C++RustGoMustacheTypeScriptJuliaShell

Github contributions (5)

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influxdata/influxdb

Jun 2014 - Apr 2021

Scalable datastore for metrics, events, and real-time analytics
Role in this project:
userBack-end Developer & Database Engineer
Contributions:142 reviews, 612 commits, 342 PRs in 6 years 11 months
Contributions summary:David primarily focused on enhancing the user management features of the InfluxDB system. Their contributions include implementing improvements to user creation, password authentication, and authorization mechanisms. They also introduced a snapshotter client and made changes to the database's meta services, suggesting an understanding of the system's internal data management. Furthermore, the user worked on continuous query functionality, ensuring that the system accurately handles and processes time-series data queries.
real-time-analyticsscalablereactanalyticsevents
dgnorton/norobo

Dec 2015 - Nov 2019

Contributions:59 commits, 33 PRs, 39 pushes in 4 years
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