Farzad Farooji
Senior Data Engineer
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolFarzad Farooji is a Senior Data Engineer based in New York with eight years of experience building production data systems at Spotify, progressing from software developer to senior engineer. He specializes in scalable back-end and dataflow solutions, with hands-on expertise in Apache Beam/Scio examples and integrations for Google Cloud Dataflow, Bigtable, Redis, and TensorFlow. His background includes low-latency, server-side engineering in financial systems at Cinnober, giving him a strong foundation in reliability and performance-sensitive design. Farzad combines practical open-source contributions—updating and refactoring widely used Scio examples—with applied knowledge of distributed systems earned during a master's at KTH. He is comfortable translating complex requirements into runnable data jobs and clear developer guidance, a subtle strength reflected in his focus on improving example-run instructions to reduce onboarding friction.
8 years of coding experience
11 years of employment as a software developer
Master's degree, software engineering of distributed systems, Master's degree, software engineering of distributed systems at Kungliga tekniska högskolan / KTH Royal Institute of Technology
Github Skills (11)
google-cloud-dataflow10
apache-beam10
data-engineering10
scala10
bigtable9
redis8
tensorflow7
avro7
batch6
batching6
streaming6
Programming languages (3)
Github contributions (5)
spotify/scio
Jul 2022 - Jan 2023
A Scala API for Apache Beam and Google Cloud Dataflow.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:49 reviews, 22 commits, 32 PRs in 6 months
Contributions summary:Farzad primarily focused on updating and refactoring example code within the `scio-examples` directory, specifically modifying run instructions for various examples. The changes involved adjusting configurations for running examples related to Redis, Bigtable, TensorFlow, Avro, Datastore, and other integrations. These updates ensure users can correctly execute Scio jobs for Google Cloud Dataflow and related services.
apidatabeambatchbigquery
farzad-sedghi/scio
Jul 2022 - Jan 2024
A Scala API for Apache Beam and Google Cloud Dataflow.
Contributions:96 pushes, 20 branches in 1 year 5 months
apibeamsingerdata-processingparquet
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