John Dimatteo
Senior Software Engineer at Open Source
Boulder, Colorado, United States
Summary
🤩
Rockstar🎓
Top SchoolJohn Dimatteo is a Senior Software Engineer with 12 years of experience building high-performance systems across healthcare, finance, and cloud platforms, currently working on Fabric Lifecycle Engineering at Google in Boulder, Colorado. He has led teams and technical initiatives at Verily and small startups, shipping production ML platforms, zero-downtime Kubernetes releases, and large-scale AWS deployments. Early work in C++ performance tuning and systems design delivered 100x and 500x improvements, and he continues to apply that focus on efficiency to clinical trials and infrastructure reliability. An intermittent but impactful open-source contributor, he’s fixed bugs and improved docs for the widely used Great Expectations project and contributed high-performance genomic tooling for academic labs. He’s motivated by clean code, thoughtful technical design, and projects that produce measurable societal benefit. Outside of work his path from lifeguard and scout leadership to volunteer research support hints at a pragmatic, service-oriented approach to engineering.
12 years of coding experience
22 years of employment as a software developer
CourseraBS Computer Science, BS Computer Science at Rutgers University
Stackoverflow
12,470reputation
5.6mreached
40answers
48questions
postgresql
top-1%
terraform
top-5%
python
top-1%
git
top-5%
git-pull
top-5%
sqlalchemy
top-1%
Github Skills (22)
data-quality10
bigquery10
postgresql10
python10
data-engineering10
sqlalchemy10
git9
terraform9
git-pull9
documentation9
data-pipeline8
data-pipelines8
pipeline8
sql8
cicd8
Programming languages (9)
Github contributions (5)
great-expectations/great_expectations
Nov 2020 - Sep 2021
Always know what to expect from your data.
Role in this project:
Data Engineer
Data EngineerContributions:33 reviews, 9 commits, 23 PRs in 10 months
Contributions summary:John's contributions primarily involved fixing bugs and enhancing the Great Expectations documentation and codebase. They corrected errors related to custom expectation rendering, specifically V2 API style. Furthermore, the user improved documentation, corrected code examples, and addressed issues related to BigQuery test dataset configuration and performance benchmarks using BigQuery. They also contributed to build configuration for a Python 3.9 installation and provided general bug fixes.
pythondatadata-integritydatacleanerpipeline-testing
jdimatteo/jdimatteo.github.io
Nov 2013 - Mar 2015
Contributions:58 commits, 1 push in 1 year 4 months
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