Greg Baumgardner
AeroLeads people directory · profile

Greg Baumgardner Email & Phone Number

Location: Seattle, Washington, United States
1 work email found @starbucks.com 2 phones found area 206 and 800 LinkedIn matched
✓ Verified Jun 2026 3 data sources Profile completeness 43%

Contact Signals · 1 work email · 2 phones

Work email g****@starbucks.com
Direct phone (206) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Location
Seattle, Washington, United States

Who is Greg Baumgardner? Overview

A concise factual answer block for searchers comparing this professional profile.

Quick answer

AeroLeads shows a work email signal at starbucks.com, phone signal with area code 206, 800, and a matched LinkedIn profile for Greg Baumgardner.

Company email context

Email format at starbucks.com

This section adds company-level context without repeating Greg Baumgardner's masked contact details.

{first_initial}{last}@starbucks.com
86% confidence

AeroLeads found 1 current-domain work email signal for Greg Baumgardner. Compare company email patterns before reaching out.

Profile bio

About Greg Baumgardner

Semi-retired Director / Statistician with over 25 years of professional experience in…

Listed skills include Analytics, Data Analysis, Data Mining, Sas, and 25 others.

FAQ

Frequently asked questions about Greg Baumgardner

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

What is Greg Baumgardner's email address?

AeroLeads has found 1 work email signal at @starbucks.com for Greg Baumgardner.

What is Greg Baumgardner's phone number?

AeroLeads has found 2 phone signal(s) with area code 206, 800 for Greg Baumgardner.

Where is Greg Baumgardner based?

Greg Baumgardner is based in Seattle, Washington, United States.

How can I contact Greg Baumgardner?

You can use AeroLeads to view verified contact signals for Greg Baumgardner, including work email, phone, and LinkedIn data when available.

What skills is Greg Baumgardner known for?

Greg Baumgardner is listed with skills including Analytics, Data Analysis, Data Mining, Sas, Predictive Modeling, Business Intelligence, Segmentation, and Sql.

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