Position:
Facilities maintenance tech at Goodwill Industries of Central Florida, Inc.
Location:
Greater Orlando, United States
Found email addresses for Pedro Velez:
Found phones for Pedro Velez:
Sep 2025 - Current
Nov 2024 - Sep 2025
Mar 2013 - Nov 2023
Their professional focus is Boom Lift, Building Maintenance, and Easily Adaptable across 3 core areas.
Sunbelt
Master's degree at Mech-Tech College LLC
What is Pedro Velez's email address?
SignalHire found verified email addresses for Pedro Velez, both business and personal. Their business email is **@goodwillcfl.org, and personal emails include p***@aol.com, and p***@gmail.com.What is Pedro Velez's phone number?
SignalHire found multiple verified phone numbers for Pedro Velez: +1-520-***-**02, +1-480-***-**71, and +1-480-***-**42.How do I contact Pedro Velez at Goodwill Industries of Central Florida, Inc.?
You can reach Pedro Velez through SignalHire by unlocking their verified email and direct phone number (free signup, no credit card needed). SignalHire is the fastest route if you need their contact details immediately.What is Pedro Velez's professional background?
Pedro Velez has 13 years of professional experience. They have held roles including Warehouse Operator, and Facilities Coordinator at companies such as Cambria, and Bonnier LLC. Their education includes Sunbelt, and Master's degree from Mech-Tech College LLC.Is Pedro Velez's contact information up to date?
Yes. Pedro Velez's SignalHire profile was last updated on 3 May 2026, reflecting their current position as Facilities maintenance tech at Goodwill Industries of Central Florida, Inc. in Orlando, FL, United States.SignalHire complies with the General Data Protection Regulation (GDPR). SignalHire follows GDPR requirements, including but not limited to rights of data subjects to access, correct, or delete their personal information and supports the right to be forgotten.
SignalHire is CCPA-compliant and provides California residents the right to know, access, opt out, and request deletion of their personal data.