Rachel Gagnon

Data Engineer

Austin, Texas, United States
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Summary

🤩
Rockstar
Rachel Gagnon is a Cloud Data Engineer based in Austin, Texas with eight years of experience building and optimizing data platforms. Currently at Google, she focuses on cloud-native data solutions that bridge engineering rigor with scalable analytics. Known for translating complex data needs into reliable pipelines, she balances deep technical implementation with operational awareness. Her GitHub presence underscores a practical, production-oriented approach to cloud data engineering. Colleagues would describe her as both detail-focused and outcome-driven, comfortable working across teams to deliver measurable data value.
code8 years of coding experience
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Github Skills (19)

google-cloud-platform10
bigquery10
google-cloud-dataflow10
google-cloud10
batch10
beam9
java9
python9
sql9
golang9
streaming9
google-cloud-ml9
apache-beam8
big-data8
streaming-data8

Programming languages (4)

DockerfileJavaGoPython

Github contributions (5)

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Example Python Dataflow pipeline using custom Docker images to install dependencies before startup.
Contributions:18 pushes, 1 branch, 1 comment in 9 months
dataflowdocker-imagepython
Contributions:5 pushes, 1 branch in 1 month
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