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Ryan Barner Email & Phone Number

Software Engineer at Netflix at Netflix
Location: Los Gatos, California, United States 13 work roles 4 schools
1 work email found @lyft.com 2 phones found area 855 LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 2 phones

Work email r****@lyft.com
Direct phone (855) ***-****
LinkedIn Profile matched
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Current company
Role
Software Engineer at Netflix
Location
Los Gatos, California, United States

Who is Ryan Barner? Overview

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Quick answer

Ryan Barner is listed as Software Engineer at Netflix at Netflix, based in Los Gatos, California, United States. AeroLeads shows a work email signal at lyft.com, phone signal with area code 855, and a matched LinkedIn profile for Ryan Barner.

Ryan Barner previously worked as Software Engineer at Netflix and Software Engineer at Lyft. Ryan Barner holds B.A., Economics from University Of Southern California.

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Email format at Netflix

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{first_initial}{last}@lyft.com
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AeroLeads found 1 current-domain work email signal for Ryan Barner. Compare company email patterns before reaching out.

Profile bio

About Ryan Barner

Christ Follower. Software Engineer and former Finance and Engineering Operations Data Analyst. Passionate about building products cross-functionally and solving problems in unique ways.I had a non-traditional journey to software engineering: I got my start as a Financial Advisory Consultant at Deloitte working on Anti-Money Laundering and eDiscovery projects. I joined Lyft as a Financial Data Analyst and helped them go public as the first rideshare company to do so with the tools I created in SQL and Excel for global tax filing, accounting month-end close, and audit and SEC obligations. I built the 2019 budget for Lyft's autonomous vehicle operations and assisted its acquisition by Toyota's Woven. I became a Software Engineer through Lyft's Apprenticeship program and worked on various teams in Growth, bringing riders and drivers to the platform through various incentives like coupons and points partnerships with companies like Delta Airlines. The last team I worked on, Communications Platform, was an event-based messaging platform through which all of Lyft's teams used for their communication campaigns with customers. There, I built various front- and back-end features and automated processes with Python and React. I reduced latency on my team's services and improved oncall by implementing Redis caches and adaptive concurrency. I am most proud of a project I led, Driver Content Relevance Engine (Driver CRE), which got drivers back driving without expenditure once COVID restrictions eased. I leveraged a Data Science team's machine learning algorithm that chose which of Marketing's 20+ message templates would be the most effective to send a driver in real time. Across 1M+ drivers, this led to a 1% increase in driver hours, sessions, and retention. For this Driver CRE project, I worked cross functionally with Data Science, Marketing, and various other engineering teams like Memberships and Driver Lifecycle, who owned the data the personalized messages were based on. Driver CRE is still being used today and has been extended for other use cases such as rider growth.I recently joined Netflix's MarTech team where I create tech to power more efficient and connected Marketing and Publicity workflows that spark and amplify convos fueling fandom at scale. I'm excited to grow as an individual contributor and aspire to lead teams and learn new languages and tech.

Listed skills include Data Analysis, Microsoft Excel, Team Leadership, Sql, and 79 others.

Current workplace

Ryan Barner's current company

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Netflix
Netflix
Software Engineer at Netflix
AeroLeads page
13 roles

Ryan Barner work experience

A career timeline built from the work history available for this profile.

Software Engineer

Current

Los Gatos, CA, US

Jan 2024 - Present

Software Engineer

San Francisco, CA, US

- Increased driver stats such as sessions (1.4%), hours (0.9%), retention (0.85%), and more by independently developing the Driver Content Relevance Engine, a program that got drivers back on the road without financially incentivizing them. Ran successful experiments on millions of drivers by working with Science to develop the machine learning algorithm.

May 2020 - Nov 2022

Software Engineer Intern

San Francisco, CA, US

Implemented and spec’d Lyft’s newest rider incentive of 2020: Bundled Offers. This gave Lyft a more concrete way to validate the theory that users prefer to buy rides in bulk and unlocked coupon experimentation with various variables.

Jan 2020 - May 2020

Software Engineering Apprentice

San Francisco, CA, US

Saved millions of dollars by shortening the case resolution time for customer support agents from 30 minutes to two by building the front and back ends of a bulk refunding functionality.

Jun 2019 - Dec 2019

Autonomous Vehicle Engineering Operations Analyst

San Francisco, CA, US

- Saved millions of dollars by building and maintaining the budget and improving reporting across Lyft’s six global sites.- Enabled executives to make hiring and product decisions and meet partnership and board meeting obligations by pulling and preparing financial and operational data and building automated dashboards, data visualizations, and decks..

Aug 2018 - Jan 2019

Financial Data Analyst

San Francisco, CA, US

- Built infrastructure for internal and external teams for global growth and retention strategies, including ride and incentive rate setting, budget creating and revenue projecting cross-functionally.- Readied Lyft for its IPO as the first rideshare company to go public by producing and presenting ride financial data and creating queries and dashboards to.

Jan 2018 - Aug 2018

Financial Analyst

San Francisco, CA, US

- Evolved and reconciled large data sets from Lyft’s payment providers and vendors to automate confidential revenue and ride reporting processes to ensure Lyft operates in compliance.- Cut costs by informing GeoJSON zoning and other product improvements with SQL programs I wrote.

Apr 2016 - Dec 2017

Ediscovery Associate

Worldwide, OO

- Facilitated the legal defense of clients’ businesses by providing consultative services in electronic evidence management in Relativity 9.2 and proprietary systems.- Provided forward-looking insight into projects with models to influence staffing and other business decisions. Analyses I presented led to the successful renegotiation of a project’s master.

Mar 2015 - Apr 2016

Anti-Money Laundering Project Associate

Worldwide, OO

- Ensured a major bank was in compliance with Patriot and Sarbanes-Oxley Acts by performing investigations on thousands of their high-risk individual and commercial clients.- Developed a Macro in Excel that streamlined operations and reduced human-error and costs. - Utilized World Check, LexisNexis, Oracle SAR and the bank's internal systems to conduct.

Aug 2014 - Feb 2015

Ediscovery Intern

Worldwide, OO

- Forensically processed data from electronic devices with Cellebrite, eCapture and Nuix.- Created and maintained SQL and Excel databases of qualitative and quantitative project metrics. Applied statistical techniques to the metrics to create and present data visualizations.

Jun 2014 - Aug 2014

Legal Extern

Washington, DC, US

- Assisted Assistant U.S. Attorneys in the Criminal division.- Conducted research and prepared for over 25 cases for trial in federal court, including pre-trial motions, motions for summary judgment, memorandum of law, and jury instructions.- Analyzed evidence for trials with the use of information processing programs such as IPROSand Adobe Acrobat..

Jun 2013 - Dec 2013

College Ambassador

Beaverton, OR, US

- Assisted Nike marketing and product distribution teams identify, analyze, and forecast fashion trends in Los Angeles.

Sep 2012 - Dec 2012

Wholesale Business Administration Intern

Los Angeles, CA, US

- Scrubbed and analyzed data from over 50 national and international retailers to identify trends, produce weekly sales reports (attack strategies), and prepare delivery hindsight.- Created and maintained 2 style image archives for current and future product deliveries.- Updated performance analysis reports with weekly results from style selling reports.

Aug 2012 - Dec 2012
4 education records

Ryan Barner education

B.A., Economics

University Of Southern California

Economics

Università Cattolica Del Sacro Cuore

Computer Science

Hackbright Academy

High School Diploma

King/Drew Magnet High School Of Medicine And Science
FAQ

Frequently asked questions about Ryan Barner

Quick answers generated from the profile data available on this page.

What company does Ryan Barner work for?

Ryan Barner works for Netflix.

What is Ryan Barner's role at Netflix?

Ryan Barner is listed as Software Engineer at Netflix at Netflix.

What is Ryan Barner's email address?

AeroLeads has found 1 work email signal at @lyft.com for Ryan Barner at Netflix.

What is Ryan Barner's phone number?

AeroLeads has found 2 phone signal(s) with area code 855 for Ryan Barner at Netflix.

Where is Ryan Barner based?

Ryan Barner is based in Los Gatos, California, United States while working with Netflix.

What companies has Ryan Barner worked for?

Ryan Barner has worked for Netflix, Lyft, Deloitte, United States Attorneys'​ Office, and Nike.

How can I contact Ryan Barner?

You can use AeroLeads to view verified contact signals for Ryan Barner at Netflix, including work email, phone, and LinkedIn data when available.

What schools did Ryan Barner attend?

Ryan Barner holds B.A., Economics from University Of Southern California.

What skills is Ryan Barner known for?

Ryan Barner is listed with skills including Data Analysis, Microsoft Excel, Team Leadership, Sql, Project Management, Python, Quantitative Research, and Spanish.

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