Fairiz Azizi
Software Engineer at Apple
California, United States
Summary
👤
Senior🎓
Top SchoolFairiz Azizi is a seasoned software engineer based in California with over a decade of hands-on experience building high-scale ad tech, big data, and API systems across startups and major firms like Apple. He has architected low-latency ad stacks and petabyte-scale ETL pipelines, improving latency from seconds to microseconds and processing billions of data points using Hadoop, Spark, and distributed systems patterns. Equally comfortable in backend, DevOps, and emerging frontend stacks, he blends Docker/Kubernetes/Cloud expertise with GraphQL, React/Native and Flutter to ship end-to-end solutions. A practical open-source contributor, he has improved tooling for Vagrant boxes and enhanced Graphite’s Whisper fetch utilities, demonstrating attention to maintainability and data hygiene. His background includes a career detour as a licensed real estate broker and a lengthy stint as a community trumpet player, reflecting a creative, multidisciplinary approach to problem solving. He enjoys exploring new tech like blockchain smart contracts while collaborating across teams from QA to executives to drive product and research innovation.
12 years of coding experience
14 years of employment as a software developer
High School Diploma, High School Diploma at Bloomington High School NorthHalf Moon Bay High SchoolBS Computer Science, BS Computer Science at Purdue University
Github Skills (17)
python10
whisper10
time-series10
data-filtering10
virtualbox10
vagrant10
command-line-interface9
debian9
command-line9
cli9
html9
chef-solo8
chef-client8
common-library7
standard-library7
Programming languages (8)
Github contributions (5)
graphite-project/whisper
Dec 2013 - Aug 2014
Whisper is a file-based time-series database format for Graphite.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 commits in 7 months
Contributions summary:Fairiz primarily focused on enhancing the `whisper-fetch.py` script, adding functionality to filter data points based on null, zero, and empty values. This involved modifying command-line options, creating new filtering functions, and integrating them into the data processing logic. The user also refactored code to consolidate options and improve code clarity, demonstrating a focus on both feature implementation and code maintainability within the time-series database context.
time-series-databasepythonseries-databasefile-basedwhisper
garethr/vagrantboxes-heroku
Feb 2014 - Feb 2014
Repository for http://www.vagrantbox.es
Role in this project:DevOps Engineer
DevOps EngineerContributions:5 commits in 1 day
Contributions summary:Fairiz primarily focused on updating the `index.html` file within the repository. Their commits involve adding and formatting entries for various Debian Wheezy boxes, including those with Chef and Vanilla configurations. The changes consistently add new virtual machine configurations, suggesting a focus on maintaining and updating the list of available Vagrant boxes. The user also fixed a typo in the index file.
vagrantboxansiblevagrantvirtualbox
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