Crest Data Email Formats
Contact top employees from
Crest Data
- Crest Data uses 6 different email formats. The most common is firstNamelastNameInitial (for example, janed@crestdata.ai), which appears in about 34% of work addresses.
- Other common patterns include:
- firstName-lastName: jane-doe@crestdata.ai (15%)
- firstName-lastNameInitial: jane-d@crestdata.ai (23%)
Crest Data’s Popular Email Formats
| Format | Example | Percentage |
|---|---|---|
Format firstNamelastNameInitial |  janed@crestdata.ai | Percentage: 34% |
Format firstName-lastNameInitial | jane-d@crestdata.ai | Percentage: 23% |
Format firstName-lastName | jane-doe@crestdata.ai | Percentage: 15% |
Format firstName.lastNameInitial | jane.d@crestdata.ai | Percentage: 12% |
Format firstNameInitial-lastNameInitial | j-d@crestdata.ai | Percentage: 10% |
Format lastNameInitial_firstName | d_jane@crestdata.ai | Percentage: 6% |
Contact top employees from
Crest Data
Bimal PatelTechnical Lead
Nishanth VasudevaTechnical Lead - Engineering Support - Contingent @Tenable
Dhaval JivaniTechnical Lead
Snehal RayamwalaTechnical Lead Engineering
Maulin ShahTechnical Lead
Ramya BhattHR Manager
Zuber ChataiwalaSenior Technical Lead
Bhagirath MahetaQA Lead
Abhi ShahTechnical Lead
Princee ShahObservability Practice Lead
Manan BhattSenior Technical Project Manager
Karan PanchalTechnical Lead
Hetang ModiTechnical Lead
Jinish SolankiSenior Technical Manager
Jyoti PatelTechnical Lead
Paulomi ChauhanQuality Assurance Lead
0% completed
Verify Crest Data Business Emails
Crest Data employee email verification for instant deliverability checks.Companies Similar to Crest Data
Crest Data Corporate Information: FAQ
Crest Data was founded in 2013 and is headquartered in San Jose, CA, where it provides IT services and software development solutions for enterprise customers. The firm specializes in a broad portfolio that includes data analytics, cyber security, AIOps, machine learning, artificial intelligence, site reliability engineering, cloud operations, DevOps, cloud migration, and advanced observability tools such as Splunk, ElasticSearch, QRadar, ServiceNow, Datadog, and Gen AI. Crest also delivers integration expertise across major cloud platforms—including AWS, GCP, and Azure—while supporting microservices architecture, ITSM, MLOps, and SecOps initiatives.
The company employs between 1,000 and 5,000 professionals and generates annual revenue in the $500 million to $1 billion range. Its executive team is led by CEO Malhar Shah, with key leaders such as Julia Vidal, Damion Desai, Bimal Patel, Mike Saurbaugh, Nishanth Vasudeva, Vance Cochrane, Het Saliya, Dhaval Jivani, Dinesh Choudhary, Aryan Jiyani, Jaivik Kalathiya, Khushi Makwana, Jyoti Patel, Sangita Lava, and Dev Jogani guiding technology, security, sales, engineering, and quality assurance functions.
The company employs between 1,000 and 5,000 professionals and generates annual revenue in the $500 million to $1 billion range. Its executive team is led by CEO Malhar Shah, with key leaders such as Julia Vidal, Damion Desai, Bimal Patel, Mike Saurbaugh, Nishanth Vasudeva, Vance Cochrane, Het Saliya, Dhaval Jivani, Dinesh Choudhary, Aryan Jiyani, Jaivik Kalathiya, Khushi Makwana, Jyoti Patel, Sangita Lava, and Dev Jogani guiding technology, security, sales, engineering, and quality assurance functions.
Crest Data uses 6 email formats across its organization. The most common pattern is firstNamelastNameInitial (e.g., janed@crestdata.ai), used in approximately 34% of work addresses.
Crest Data currently employs over 1000-5000 people from United States, Nigeria, India, with a head office in San Jose, CA.
Data Privacy
GDPR COMPLIANT
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.
CCPA COMPLIANT
SignalHire is CCPA-compliant and provides California residents the right to know, access, opt out, and request deletion of their personal data.
