Bhupinder Sindhwani
Head Of Data Analytics Customer Engineering, Canada
Toronto, Ontario, Canada
Summary
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Top SchoolBhupinder Sindhwani is a data engineering and customer-facing technology leader with eight years of cloud and analytics experience, now leading Data Analytics Customer Engineering for Google Canada. He progressed from hands-on Oracle DBA and presales specialist roles into senior Cloud Customer Engineer positions, blending deep database, Exadata and cloud platform expertise with strategic customer enablement. Known for shipping robust pipeline features, he contributes to Apache Beam—adding event-time trigger tests and streaming enhancements—demonstrating practical open-source impact on real-time data processing. Based in Toronto, he excels at translating complex technical requirements into scalable, production-ready analytics solutions and enabling large enterprise customers to adopt cloud-native analytics. His background combining low-level DBA rigor with presales and customer engineering gives him a rare mix of technical credibility and commercial acumen.
7 years of coding experience
6 years of employment as a software developer
BE, Electronics & Communication, BE, Electronics & Communication at Maharshi Dayanand University
Github Skills (12)
trigger10
data-pipelines10
data-pipeline10
apache-beam10
python10
streaming10
testing10
big-data9
go4
javas4
java4
sql3
Programming languages (2)
Github contributions (5)
apache/beam
Jul 2021 - Aug 2021
Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:
Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:12 commits, 1 PR, 1 comment in 7 days
Contributions summary:Bhupinder's contributions focus on implementing and testing features within the Apache Beam framework, specifically related to event time triggers. The commits include additions and modifications to Python code, including test cases, demonstrating a focus on ensuring the correct behavior of the Beam pipelines. The user refactored code related to accumulation modes and added streaming options, indicating enhancements for pipeline flexibility and performance, testing and fixing the code related to events.
golangpythonstreaming-databeambatch
BhupiSindhwani/python-problem-solving
Aug 2023 - Mar 2024
Contributions:187 pushes, 1 branch in 7 months
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