Archana Ramachandran Email & Phone Number | Engineering Manager of Managers at Stripe (Big Data Platform) At Segment, I have spent the better half of my time as an engineering manager for Protocols, Privacy and Destinations filters product areas. https://segment.com/product/protocols/ I started off at Segment as a senior backend engineer on the Protocols team. Working on highly scalable, available, low latency, event processing data pipeline powered by Golang, kafka, Redis, Mysql, Clickhouse, etc processing ~10 billion events per day. Worked on integrating protocols with an in-house distributed data store called Ctlstore. https://segment.com/blog/separating-our-data-and-control-planes-with-ctlstore/ Previously worked on implementing WLAN and Bluetooth low energy drivers for Qualcomm Snapdragon chipsets. I am trained Indian classical singer and in my free time enjoy practicing music.

Archana Ramachandran

Engineering Manager of Managers at Stripe (Big Data Platform) At Segment, I have spent the better h...
888 15th Avenue, Menlo Park, United States

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Archana Ramachandran’s Location 888 15th Avenue, Menlo Park, United States

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Archana Ramachandran’s Prior Industry Segment | Otto | Qualcomm | Arizona State University | Intel

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Engineering Manager of Managers

2020-11-01 00:00:00 - Present

Distributed Systems Software Engineer

2018-03-01 00:00:00 - 2020-11-01 00:00:00

Cloud Backend Senior Software Engineer

2017-07-01 00:00:00 - 2018-01-01 00:00:00

Staff Software Engineer

2007-06-01 00:00:00 - 2017-06-01 00:00:00

Research Assistant

2005-10-01 00:00:00 - 2007-06-01 00:00:00

Engineering Intern

2006-05-01 00:00:00 - 2006-08-01 00:00:00

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Archana Ramachandran is a Engineering Manager of Managers at Stripe (Big Data Platform) At Segment, I have spent the better half of my time as an engineering manager for Protocols, Privacy and Destinations filters product areas. https://segment.com/product/protocols/ I started off at Segment as a senior backend engineer on the Protocols team. Working on highly scalable, available, low latency, event processing data pipeline powered by Golang, kafka, Redis, Mysql, Clickhouse, etc processing ~10 billion events per day. Worked on integrating protocols with an in-house distributed data store called Ctlstore. https://segment.com/blog/separating-our-data-and-control-planes-with-ctlstore/ Previously worked on implementing WLAN and Bluetooth low energy drivers for Qualcomm Snapdragon chipsets. I am trained Indian classical singer and in my free time enjoy practicing music.