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Daniel Wellner - Email & Phone Number

Director of DevOps and Security at Averity

Daniel Wellner is based out of Summit, New Jersey, United States and works at Averity as Director of DevOps and Security.

Daniel Wellner's Contact Information

Daniel Wellner's Work email
d*****@averit***.com
Valid
Latest update
October 29, 2025
Location
Summit, New Jersey, United States

Daniel's current employer

Averity logo

Averity

Description
HQ Location
New York, NY, United States
Number of employees
11-50
Industry
Staffing And Recruiting
Latest update
May 1, 2024

Frequent questions about Daniel Wellner

What company is Daniel Wellner working for?
Daniel Wellner works for Averity.
What is Daniel Wellner's function at Averity?
Daniel Wellner is Director of DevOps and Security at Averity.
Where is Daniel Wellner based?
Daniel Wellner is based out of Summit, New Jersey, United States.
What is Daniel Wellner's work email address?
Daniel Wellner's professional email address is d*****@averit***.com
Who are Daniel Wellner's co-workers?
Daniel Wellner's colleagues are Chris Allaire, Matt Stabile, Chad Goldstein, John Birchall, Veronica Colvin, Patrick Koehl, Christopher Decrescenzo, Peter Klochaney, Mark Howland, Shane McGonnell, Stephanie Grosso.
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Daniel's co-workers

Chris Allaire avatar
Chris Allaire
CEO and Founder
Matt Stabile avatar
Matt Stabile
Co-Founder, COO, Executive Data Science and Analytics Recruiter at Averity
Chad Goldstein avatar
Chad Goldstein
Lead DevOps Talent Advocate
John Birchall avatar
John Birchall
Director, Data Science & Data Engineering
Veronica Colvin avatar
Veronica Colvin
Technical Recruitment Consultant
Patrick Koehl avatar
Patrick Koehl
Manager Open Source Engineering Team
Christopher Decrescenzo avatar
Christopher Decrescenzo
Manager- Data Science & Analytics
Peter Klochaney avatar
Peter Klochaney
Principal Talent Advocate
Mark Howland avatar
Mark Howland
Technical Recruiter
Shane McGonnell avatar
Shane McGonnell
Senior Talent Acquisition Specialist
Stephanie Grosso avatar
Stephanie Grosso
Senior Talent Advocate (Data Engineering & Machine Learning)
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