Graham Polley
VP Of Delivery & Technology, EMEA at Zencore
Melbourne, Victoria, Germany
Summary
👤
Senior🎓
Top SchoolGraham Polley is a seasoned cloud and delivery leader with a decade focused on Google Cloud and 15 years working in cloud technologies overall, now serving as VP of Delivery & Technology, EMEA at Zencore. He combines hands-on engineering roots with progressive leadership roles—moving from software engineer to managing large delivery and engineering organisations across EMEA. Graham has led and scaled Google Cloud practices at multiple firms, translating complex business problems into pragmatic cloud solutions and repeatable delivery models. Based in Melbourne with significant experience operating in Europe, he blends technical depth from an MSc in Advanced Computer Science with practical delivery instincts. Colleagues describe him as a pragmatic technologist who still identifies as “1x Engineer,” signalling a continued appetite for hands-on problem solving despite senior leadership responsibilities.
10 years of coding experience
9 years of employment as a software developer
Master of Science - MS Advanced Computer Science, Master of Science - MS Advanced Computer Science at The University of ManchesterBSc Computer Software Engineering, BSc Computer Software Engineering at Technological University DublinChristian Brothers College
English, German
Stackoverflow
14,573reputation
1.1mreached
306answers
121questions
google-bigquery
top-1%
google-cloud-storage
top-5%
python
top-5%
google-apps-script
top-5%
google-cloud-platform
top-1%
Github Skills (85)
google-cloud-platform10
python10
gcp10
google-cloud10
appengine10
streaming10
google-bigquery10
client-library10
google-cloud-run10
batch10
java10
google10
translate10
cloud-storage10
beam9
Programming languages (9)
Github contributions (5)
polleyg/gcp-batch-ingestion-bigquery
Aug 2018 - Jan 2019
Uses Cloud Build to deploy a scalable batch ingestion pipeline consisting of GCS, Cloud Functions, Dataflow and BigQuery
Contributions:71 commits, 11 PRs, 49 pushes in 5 months
cloud-buildgcpgoogle-cloudawsdataflow
polleyg/gcp-tweets-streaming-pipeline
Sep 2018 - Feb 2019
Example Kubernetes app that shows how to build a 'pipeline' to stream data into BigQuery. Uses Redis or Google Cloud PubSub
Contributions:12 commits, 11 pushes, 2 branches in 4 months
bigtablegcpstream-processingredispipeline
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