Rahul Singhal Email & Phone Number
@databricks.com
2 phones found area 650
LinkedIn matched
Who is Rahul Singhal? Overview
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Rahul Singhal is listed as Staff Software Engineer at Databricks at Databricks, a company with 51 employees, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at databricks.com, phone signal with area code 650, and a matched LinkedIn profile for Rahul Singhal.
Rahul Singhal previously worked as Staff Software Engineer at Databricks and Staff Software Engineer (Databases) at Meta. Rahul Singhal holds Bachelor Of Technology (Btech), Computer Science from Indian Institute Of Technology, Bombay.
Email format at Databricks
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AeroLeads found 1 current-domain work email signal for Rahul Singhal. Compare company email patterns before reaching out.
About Rahul Singhal
Experienced Tech Leader with a demonstrated history of1. Executing and landing multi-team/cross-org/cross-functional projects.2. First hand experience building 0-1 products and making them successful. 3. Mentoring/Influencing/Motivating teams.4. Designing complex large scale distributed systems.
Listed skills include C, C++, Python, Programming, and 21 others.
Rahul Singhal's current company
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Rahul Singhal work experience
A career timeline built from the work history available for this profile.
Staff Software Engineer (Databases)
* Led initiatives to proactively cut down production issues faced by database engineering teams.* Designed & built native support in mysql server so it can self-resolve replication lags due to increased write workloads by penalizing bad tenants.* Partnered with production engineering team, data caching and database customers to design staged rollout plan.
Senior Software Engineering (Ig+Fb Creator Monetization)
* Area lead for 0-1 bet by Facebook to build a marketplace to make it easy for brands and content creators to collaborate on sponsored content. Brand Collabs Manager was announced at Vidcon 2018. * Tech led a team of 11 engineers, interfaced closely with X-functional product partners. Worked with PMM and sales leads on GTM plan and a successful launch. *.
Senior Software Engineer (Publisher Monetization)
* Team tech lead for the new monetization and analytics platform for publishers. Responsible for X-functional collaboration between Ads, publisher-brand safety and monetization product teams.* Built the infrastructure to enable publishers to set price targets for each ad placement.* Drove consensus with Facebook ads and business manager teams to agree on a.
Software Engineer (Publisher Monetization)
* Infrastructure to support ads delivery related real-time reporting and insight products for Audience Network publishers.* Consolidation of user experience for publishers using Facebook audience network and those that were acquired as part of LiveRail acquisition.
Software Engineering Intern
Performance optimization of Facebook Ads manager to make product navigation seamless. Worked with the design team to update navigation flows. Built a hybrid of data bootstrapping & pre-loading of UI components to reduce the perceived latency.
Research Intern
Worked on aerospace applications. Research team was using a RTEMS platform for their hardware. Built prototypes to prove feasibility of transition to platform built using L4-Fiasco microkernel.
Software Engineer Intern
Migrated flash applications to equivalent web-apps written using jQuery and JavaScript to help the company avoid compatibility issues flash applications keep running into.
Colleagues at Databricks
Other employees you can reach at databricks.com. View company contacts for 51 employees →
Jiayi Wu
Colleague at Databricks
Greater Boston, United States, United States
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BG
Brian Greenaway
Colleague at Databricks
San Francisco Bay Area, United States, United States
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JH
Jiaqi Huo
Colleague at Databricks
Seattle, Washington, United States, United States
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RS
Ravi Sakaria
Colleague at Databricks
Chicago, Illinois, United States, United States
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MG
Michael Gephart
Colleague at Databricks
Park City, Utah, United States, United States
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MK
Mubashir Kazia
Colleague at Databricks
Ashburn, Virginia, United States, United States
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EA
Ernest Addy-Nettey
Colleague at Databricks
Dumfries, Virginia, United States, United States
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BS
Becca Stark
Colleague at Databricks
United Kingdom, United Kingdom
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AS
Adith Sudhakar
Colleague at Databricks
Cupertino, California, United States, United States
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KP
Krishna Puttaswamy
Colleague at Databricks
Mountain View, California, United States, United States
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Rahul Singhal education
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Indian Institute Of Technology, Bombay
Frequently asked questions about Rahul Singhal
Quick answers generated from the profile data available on this page.
What company does Rahul Singhal work for?
Rahul Singhal works for Databricks.
What is Rahul Singhal's role at Databricks?
Rahul Singhal is listed as Staff Software Engineer at Databricks at Databricks.
What is Rahul Singhal's email address?
AeroLeads has found 1 work email signal at @databricks.com for Rahul Singhal at Databricks.
What is Rahul Singhal's phone number?
AeroLeads has found 2 phone signal(s) with area code 650 for Rahul Singhal at Databricks.
Where is Rahul Singhal based?
Rahul Singhal is based in San Francisco Bay Area, United States, United States while working with Databricks.
What companies has Rahul Singhal worked for?
Rahul Singhal has worked for Databricks, Meta, Technische Universität Braunschweig, and Educational Initiatives.
Who are Rahul Singhal's colleagues at Databricks?
Rahul Singhal's colleagues at Databricks include Jiayi Wu, Brian Greenaway, Jiaqi Huo, Ravi Sakaria, and Michael Gephart.
How can I contact Rahul Singhal?
You can use AeroLeads to view verified contact signals for Rahul Singhal at Databricks, including work email, phone, and LinkedIn data when available.
What schools did Rahul Singhal attend?
Rahul Singhal holds Bachelor Of Technology (Btech), Computer Science from Indian Institute Of Technology, Bombay.
What skills is Rahul Singhal known for?
Rahul Singhal is listed with skills including C, C++, Python, Programming, Java, Javascript, Algorithms, and Data Structures.
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