


Dataplatr Email Formats
IT Services and IT Consulting • Palo Alto, California, United States • 51-100 Employees
Dataplatr Email Formats
Dataplatr uses 4 email formats. The most common is {first name}.{last name} (e.g., john.doe@dataplatr.com), used 64.7% of the time.
| Format | Example | Percentage |
|---|---|---|
{first name}.{last name} | john.doe@dataplatr.com | 64.7% |
{first initial}.{last name} | j.doe@dataplatr.com | 26.5% |
{first initial} | j@dataplatr.com | 5.9% |
{last name} | doe@dataplatr.com | 2.9% |
Key Contacts at Dataplatr
Harish Ramachandraiah
Co-Founder
Prabu Varatharaju
Co-Founder, Cto
Sneha Garodia
Marketing Director
Company overview
| Headquarters | Palo Alto, California, United States |
| Phone number | +14024212280 |
| Website | |
| NAICS | 5415 |
| Keywords | AWS, Data, Data Analytics, CDM, Enterprise, Salesforce, Oracle Erp, Data Science, Oracle, SAP, Data Warehouse, AI, Tableau, Google Cloud Platform, GCP, Devops, Workday, Data Warehouse, ELT, DBT, Medium, Omni, Dataops, Databricks, Looker, Snowflake, Cloud Data Engineering, Al/Ml, Microsoft Fabric |
| Founded | 2023 |
| Employees | 51-100 |
| Socials |
About Dataplatr
Dataplatr specializes in data engineering & analytics with pre-built data models for Enterprise Applications like SAP, Oracle EBS, Workday, Salesforce to empower businesses to unlock the full potential of their data. Our pre-built enterprise data engineering models are designed to expedite the development of data pipelines, data transformation, and integration, saving you time and resources. Our team of experienced data engineers, scientists and analysts utilizes cutting-edge data infrastructure into valuable insights and helps enterprise clients optimize their Sales, Marketing, Operations, Financials, Supply chain, Human capital and Customer experiences. We help you define a robust data strategy, evaluate and deploy a modern data stack and build analytical capabilities to derive valuable insights and resulting business outcomes . We bring deep functional and technical expertise in state of art data tools with a holistic perspective across subject areas and business units from strategy definition till end user training. Our service offering spans across the following 4 broad pillars: Accelerators | Data Integration | Data Warehouse | Data Visualization Contact us at Info@dataplatr.com to request information about our published blogs or services
Employees by Management Level
Total employees: 51-100
Seniority
Employees
Employees by Department
Dataplatr has 41 employees across 9 departments.
Departments
Number of employees
Funding Data
Dataplatr has never raised funding before.
Dataplatr Tech Stack
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Frequently asked questions
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