Dhawal Sanghvi
Senior Software Engineer at RudderStack
Hyderabad, Telangana, India
Summary
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Rockstar🎓
Top SchoolDhawal Sanghvi is a Senior Software Engineer based in Hyderabad with ~7 years of experience building resilient, high-throughput backend systems for startups. He specializes in Go, Node.js, Postgres/TimescaleDB and Kafka, and has repeatedly owned projects end-to-end—from POC to production—delivering exactly-once semantics, zero data loss pipelines, and large-scale metadata services that scaled from 10K to 150K writes/min. At RudderStack and SigNoz he focused on performance engineering, observability integration, HA TimescaleDB setups and robust migration strategies, often pairing deep root-cause analysis with pragmatic automation. An active open-source contributor, he has improved timestamp consistency and event handling in the privacy-focused Rudder server repository. Known for thriving in dynamic startup environments, he combines curiosity about tool resilience with a disciplined approach to monitoring, alerting and operational correctness.
7 years of coding experience
5 years of employment as a software developer
ISC, 93.75%, ISC, 93.75% at M. C. Kejriwal VidyapeethBachelor of Technology - BTech, Computer Science, 9.00, Bachelor of Technology - BTech, Computer Science, 9.00 at Heritage Institute of Technology, Kolkata
Hindi, Gujarati, English, Bengali
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
unix-timestamp10
timestamps10
go10
data-pipelines10
timestamp10
data-pipeline10
data-processing9
event-streaming8
customer-data-platform7
Programming languages (9)
Github contributions (5)
rudderlabs/rudder-server
Aug 2020 - Aug 2022
Privacy and Security focused Segment-alternative, in Golang and React
Role in this project:
Back-end Developer
Back-end DeveloperContributions:51 reviews, 97 commits, 50 PRs in 2 years
Contributions summary:Dhawal primarily focused on modifying and refactoring code related to timestamp handling within the Rudder Server project. Their contributions included adding, refactoring, and removing timestamp-related functions in files related to data processing and event uploading. The changes aimed to add and format timestamps consistently across different event types within the data pipeline. Furthermore, the commits demonstrate a focus on improving the consistency and reliability of timestamp management within the server's data processing logic.
rudderwarehouse-managementcustomer-datadata-warehousehybrid-cloud
dhawal1248/ex1
Oct 2018 - Oct 2018
Contributions:5 pushes, 1 branch in 17 days
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