Mayadata
Business Contact
Dean Stathos
director of data architectureEmail: dean.stathos@emc.com
Contact Information
Web: mayadata.io
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LinkedIn Profile: Visit
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Business Description
MayaData is a company focused on driving data agility through the delivery of storage and related services to containerized and cloud-native environments. With a team boasting hundreds of years of experience in building enterprise-class systems, the company prioritizes containerized and cloud-native architecture for optimal delivery of its services.
Employees: 61
Founded: 2017
Questions & Answers
Q1
How long has Mayadata been in business?
Mayadata has been in business for around 9 years.Q2
How big is Mayadata?
Mayadata employs around 61 people at this location.Q3
Where is Mayadata located?
Mayadata is located at 4300 Stevens Creek Boulevard, Suite 270, San Jose, California, 95129.Q4
Is there a primary contact for Mayadata?
Dean Stathos (director of data architecture) at Mayadata. You can contact Dean Stathos at email address dean.stathos@emc.com.Q5
Are there other contacts associated with Mayadata?
We have 9 additional contact(s) for Mayadata. They include: Harshvardhan Karn, Sanjay Nathani, Ajesh Baby, Philippe Theriault, Kiran Mova, Jeffry Molanus, Akash Srivastava, Soumya Leelaram & Utkarsh Mani Tripathi.Q6
What is the web address (URL) for Mayadata?
The website for Mayadata is mayadata.io.Q7
How many people are employeed at Mayadata?
Mayadata has around 61 employees at this location.Businesses in Zip Code 95129
Businesses in 95129: 6,946
Population: 40,468
Categories
Shopping: 18%
Professional Services: 14%
Medical: 12%
Other: 55%
Price
Moderate: 55%
Inexpensive: 37%
Expensive: 6%
Very Expensive: 2%
Other: 0%
Area Codes
408: 96%
Other: 4%
Neighborhoods
Blackford: 6%
Calabazas North: 10%
Rogers: 5%
West San Jose: 40%
Other: 39%
Stats and Demographics for Zip Code 95129
Race
White: 49%
Asian: 41%
Hispanic or Latino: 7%
Black Or African American: 1%
American Indian Or Alaskan Native: 0%
Native Hawaiian & Other Pacific Islander: 0%
Other: 2%
Gender
Male: 50%
Female: 50%
Other: 0%