Paul Bauer
Senior Software Engineer at Datadog
United States
Summary
🤩
Rockstar🎓
Top SchoolPaul Bauer is a Senior Software Engineer with 11 years of experience building cloud-native infrastructure and performance-focused back-end systems, currently advancing continuous profiling and time-series storage at Datadog. He brings deep expertise in Go, distributed systems, and DevOps automation from prior roles designing private PaaS and cloud infrastructure at Udacity and LonoCloud, and earlier work across embedded and enterprise systems. An active open-source contributor, Paul has improved Datadog's dd-trace-go with profiler/tracer enhancements and helped make the Apollo Mesos/Docker platform more portable and automatable. Known for pragmatic performance optimization—such as implementing fast delta profiling—and attention to cross-platform tooling, he blends hands-on engineering with infrastructure reliability. Also an avid UUID collector, he pairs a curious, detail-oriented mindset with production-scale system thinking.
11 years of coding experience
16 years of employment as a software developer
BS, Computer Science, BS, Computer Science at Purdue University Fort Wayne
Github Skills (28)
docker10
tracer10
scripting10
distributed-tracing10
cloud-infrastructure10
dockers10
automation10
script10
go10
aws10
performance-optimization10
profiling10
ansible10
sh10
ansible-galaxy10
Programming languages (16)
Github contributions (5)
DataDog/dd-trace-go
Dec 2020 - Jan 2023
Datadog Go Library including APM tracing, profiling, and security monitoring.
Role in this project:
Back-end Developer & Performance Engineer
Back-end Developer & Performance EngineerContributions:108 reviews, 24 commits, 14 PRs in 2 years 1 month
Contributions summary:Paul primarily focused on enhancing the Datadog Go library by implementing features related to profiling and tracing. Their contributions include adding options for Unix Domain Socket (UDS) client configurations for the profiler and tracer, facilitating custom HTTP clients and transports. They also implemented V3 profile upload format and added custom metrics payloads. Furthermore, the user worked on fast delta profiling to optimize performance and also addressed code quality issues, demonstrating proficiency in performance optimization and Go development.
golangapmtracingdatadog-apmopentracing
Capgemini/Apollo
May 2015 - Sep 2015
:rocket: An open-source platform for cloud native applications based on Apache Mesos and Docker.
Role in this project:DevOps Engineer
DevOps EngineerContributions:21 commits, 19 PRs, 30 comments in 3 months
Contributions summary:Paul's commits primarily focus on infrastructure and automation tasks within the Apollo project. They parameterized the slave work directory for Mesos on AWS, fixed SSH configuration, and made the `sed` command more portable. Furthermore, the user added an argument to customize Ansible and addressed an awk error in a shell script. The commits show a focus on cloud configuration, build processes, and portability.
containerscloud-native-applicationsnative-applicationsdockerapache
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