Position:
Software Developer at Profound Logic
Location:
Garza García, Nuevo León, Mexico
Found email addresses for Daniela Garza:
Found phone for Daniela Garza:
Jul 2024 - Current
May 2023 - Jul 2024
Jan 2023 - May 2023
Sep 2022 - Jan 2023
Jun 2021 - Sep 2022
Their professional focus is Agile Methodologies, HTML5, and Interpersonal Skills across 3 core areas.
Bachelor's degree at TECNOLÓGICO DE MONTERREY
High School Diploma at Universidad de Monterrey
American School Foundation of Monterrey
What is Daniela Garza's email address?
SignalHire found a verified business email address for Daniela Garza: g**********a@profoundlogic.com.What is Daniela Garza's phone number?
SignalHire found a verified phone number for Daniela Garza: +52-***-***-6244.How do I contact Daniela Garza at Profound Logic?
You can reach Daniela Garza 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 Daniela Garza's professional background?
Daniela Garza has 5 years of professional experience. They have held roles including Software Engineer, Software Engineer Intern, and Front End Software Engineer Intern at companies such as Ellucian, Ellucian, and Softtek. Their education includes Bachelor's degree from TECNOLÓGICO DE MONTERREY, and High School Diploma from Universidad de Monterrey.Is Daniela Garza's contact information up to date?
Yes. Daniela Garza's SignalHire profile was last updated on 10 October 2025, reflecting their current position as Software Developer at Profound Logic in Dayton, Ohio, 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.