Vignesh Chandramohan
Engineering Manager at DoorDash
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolVignesh Chandramohan is an engineering leader with 12 years of experience building and operating large-scale stream processing and analytical systems, now leading real-time and batch analytics efforts at DoorDash from Seattle. Previously a Principal Software Engineering Manager at Microsoft, he helped design core capabilities for Azure Stream Analytics and Microsoft Fabric—work that spans watermarks, idempotent sends, extensible connectors, and table formats like Delta Lake and Iceberg. He combines hands-on backend development (including modernizing Azure Stream Analytics components to .NET Core and adopting Azure.Messaging.EventHubs) with team leadership and data lake architecture expertise. Known for pragmatically bridging platform design and feature engineering, he focuses on reliable, production-grade streaming solutions that scale.
12 years of coding experience
18 years of employment as a software developer
Bachelor of Technology (BTech) Computer Science, Bachelor of Technology (BTech) Computer Science at National Institute of Technology, Tiruchirappalli
English
Stackoverflow
1,306reputation
80kreached
55answers
5questions
azure
top-5%
Github Skills (13)
netcore10
azure-eventhub10
csharp10
dotnet-core10
serialization9
azure9
data-serialization9
powerbi6
stream6
azure-blob-storage6
azure-stream-analytics6
analytics6
tsql6
Programming languages (7)
Github contributions (5)
Azure/azure-stream-analytics
Dec 2018 - Jan 2021
Azure Stream Analytics
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 commits, 5 PRs, 9 comments in 2 years 1 month
Contributions summary:Vignesh focused on adapting a data generator to be compatible with .NET Core, indicating work related to modernizing the project's infrastructure. They also refactored the code to parameterize wait times within the data generation process. Furthermore, the user updated the project's code to use the Azure.Messaging.EventHubs library. They also added example custom deserializers for different data formats.
azure-stream-analyticsanalyticsstream-analyticsstreamazure
vigneshc/TwitterKafkaConnect
Dec 2016 - Jun 2023
Contributions:2 pushes, 1 branch in 6 years 7 months
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