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Ambika Vishwakarma

Senior Data Engineer at Quantiphi

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Education

shri g s institute of technology science

Companies

quantiphi

info impulse

Experience

2.7 Years

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Experience

Senior Data Engineer

quantiphi | Bengaluru, Karnataka, India

2024 - Present

Data Engineer

quantiphi | India

2021 - 2024

Intern

info impulse | Indore Area, India

2019 - 2019

Skills

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Agile Methodologies

C (Programming Language)

Cascading Style Sheets (CSS)

Data Analysis

Data Analytics

Data Engineering

Data Modeling

Data Structures

Data Visualization

Google Analytics

Google Cloud Platform (GCP)

Google Data Studio

HTML

KPI Dashboards

Microsoft Office

Python (Programming Language)

RDBMS

SQL

Teamwork

Contact Details

Email (Verified)

vamXXXXXXXXXXXXXXXXom

Mobile Number

+91XXXXXXXXXX

Education

shri g s institute of technology science

Bachelor of Technology - BTech

2017 - 2021

Frequently asked questions

What company does Ambika Vishwakarma work for?

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Ambika Vishwakarma works for quantiphi

What is Ambika Vishwakarma role in his workplace?

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Ambika Vishwakarma's role in his workplace is Senior Data Engineer

What is Ambika Vishwakarma's tenure in his workplace?

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Ambika Vishwakarma's tenure in his workplace is 0.59 years

What is Ambika Vishwakarma's total experience?

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Ambika Vishwakarma's total experience is 2.67 years

What is Ambika Vishwakarma's LinkedIn profile?

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Ambika Vishwakarma's LinkedIn profile can be found here

What is Ambika Vishwakarma's email address?

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Ambika Vishwakarma's email address is vamXXXXXXXXXXXXXXXXom. Unlock here

What is Ambika Vishwakarma's phone/WhatsApp number?

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Ambika Vishwakarma's phone number is +91XXXXXXXXXX. Unlock here

What schools did Ambika Vishwakarma attend?

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Ambika Vishwakarma has attended shri g s institute of technology science

What companies has Ambika Vishwakarma worked with?

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Ambika Vishwakarma has worked with quantiphi, quantiphi, info impulse

What are some of Ambika Vishwakarma's skills?

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Ambika Vishwakarma has skills in Agile Methodologies, C (Programming Language), Cascading Style Sheets (CSS), Data Analysis, Data Analytics, Data Engineering and more.

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