Laurie Denness

Manager, Managed Systems Integration Engineering

New York, New York, United Kingdom
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Summary

👤
Senior
Laurie Denness is a technical architect and engineering leader with 17 years of experience building and operating large-scale managed fleets, now managing Bloomberg’s Managed Systems Integration Engineering teams in New York. She has deep hands-on expertise in provisioning, lifecycle management, configuration management and kernel performance tuning across tens of thousands of machines, and previously led similar efforts as a team lead and senior/staff operations engineer at Etsy. Laurie blends people leadership with practical engineering: she drives end-to-end delivery while refactoring systems for maintainability and measurable operational improvements. Her open-source contributions include improving reporting, schema upgrades and refactors for Etsy’s opsweekly tool—demonstrating a focus on reliable alerting and actionable operational metrics. Known for turning complex, noisy infrastructure into auditable, maintainable systems, she pairs low-level systems knowledge with a pragmatic approach to scale and automation.
code17 years of coding experience
job16 years of employment as a software developer
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Stackoverflow

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Github Skills (12)

php10
refactoring10
reporting-services10
refactor10
mysql9
db-schema9
database-schema9
schema9
warnings9
database-design9
exceptions9
database-management9

Programming languages (8)

JavaShellJinjaJavaScriptGoPHPRubyPython

Github contributions (5)

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etsy/opsweekly

Jun 2014 - Dec 2017

On call alert classification and reporting
Role in this project:
userBack-end Developer
Contributions:47 commits, 10 PRs, 14 pushes in 3 years 6 months
Contributions summary:Laurie primarily focused on enhancing the reporting functionality of the `opsweekly` application. Their contributions involved adding features for yearly reports, specifically incorporating data on the most waking hosts and services. They refactored report generation, breaking it into smaller, more manageable chunks for improved maintainability, and moved rendering logic into shared functions. Furthermore, the user addressed bugs, improved code style, and upgraded the database schema.
alertpythonon-callreportingmachine-learning
lozzd/Nagdash

Nov 2012 - Aug 2015

A full screen, clean interface for Nagios designed for A dashboard/NOC/monitoring screen.
Contributions:41 commits, 4 PRs, 4 pushes in 2 years 9 months
raspberry-pifull-screencleannagiosdashboard
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