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Anita Kumari
Data Engineer at Peterbilt Motors Company | MSCS - UTA | Python | SQL | Tableau | Unix | ETL | AWS | Big Data | Ex-Accenture
Education Overview
• the university of texas at arlington
• bangalore institute of technology
Companies Overview
• peterbilt motors company
• the university of texas at arlington
• accenture
Experience Overview
3.8 Years
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Experience
Student Assistant: OIT Help Desk
the university of texas at arlington | Arlington, Texas, United States
2022 - 2022
Skills
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Amazon Web Services (AWS)
analytics
Big Data
Communication
Data Analytics
Data Engineering
Data Pipelines
Data Science
Data Scientist
Data Visualization
Data Warehousing
etl tools
Extract, Transform, Load (ETL)
NumPy
Pandas
Pandas (Software)
Problem solving
Python
Shell Scripting
Snowflake
SQL
Tableau
Technical Support
Unix
unix shell scripting
Contact Details
Email (Verified)
aniXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXXXXEducation
the university of texas at arlington
Master's degree
2021 - 2023
bangalore institute of technology
Bachelor of Engineering (B.E.)
2014 - 2018
Frequently asked questions
What company does Anita Kumari work for?
Anita Kumari works for peterbilt motors company
What is Anita Kumari role in his workplace?
Anita Kumari's role in his workplace is Data Engineer
What is Anita Kumari's tenure in his workplace?
Anita Kumari's tenure in his workplace is 1.42 years
What is Anita Kumari's total experience?
Anita Kumari's total experience is 3.83 years
What is Anita Kumari's LinkedIn profile?
What is Anita Kumari's email address?
What is Anita Kumari's phone/WhatsApp number?
What schools did Anita Kumari attend?
Anita Kumari has attended the university of texas at arlington, bangalore institute of technology
What companies has Anita Kumari worked with?
Anita Kumari has worked with peterbilt motors company, peterbilt motors company, the university of texas at arlington, accenture, accenture
What are some of Anita Kumari's skills?
Anita Kumari has skills in Amazon Web Services (AWS), analytics, Big Data, Communication, Data Analytics, Data Engineering and more.
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