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Sagar Negi
Senior Associate at PwC
Education Overview
• nit jalandhar dr b r ambedkar national institute of technology jalandhar
Companies Overview
• pwc
• capgemini
• indian institute of remote sensing
Experience Overview
5.1 Years
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Experience
Research And Development Intern
indian institute of remote sensing | Dehra Dun Area, India
2017 - 2018
Skills
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AAS
Azure
Azure Data Factory
Azure Data Lake
azure data warehouse
Azure Databricks
Azure DevOps
azure synapse
Basketball
Business Intelligence (BI)
C
C (Programming Language)
C++
Cloud Computing
Data Analysis
Data Engineering
Data Pipelines
Data Structures
Data Warehousing
Database Management System (DBMS)
databricks
Databricks
Design
Elementor
Excel
Extract, Transform, Load (ETL)
Image Editing
Java
Management
Microsoft Azure
Microsoft Office
Microsoft Power BI
Microsoft PowerPoint
Microsoft SQL Server
Power BI
Problem solving
Programming
Python (Programming Language)
snaplogic
SQL
sql server
Teamwork
WordPress
WordPress Design
Contact Details
Email (Verified)
negXXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXX94Education
nit jalandhar dr b r ambedkar national institute of technology jalandhar
Bachelor of Technology - BTech
2015 - 2019
Frequently asked questions
What company does Sagar Negi work for?
Sagar Negi works for pwc
What is Sagar Negi role in his workplace?
Sagar Negi's role in his workplace is Senior Associate
What is Sagar Negi's tenure in his workplace?
Sagar Negi's tenure in his workplace is 3.00 years
What is Sagar Negi's total experience?
Sagar Negi's total experience is 5.08 years
What is Sagar Negi's LinkedIn profile?
What is Sagar Negi's email address?
What is Sagar Negi's phone/WhatsApp number?
What schools did Sagar Negi attend?
Sagar Negi has attended nit jalandhar dr b r ambedkar national institute of technology jalandhar
What companies has Sagar Negi worked with?
Sagar Negi has worked with pwc, capgemini, indian institute of remote sensing
What are some of Sagar Negi's skills?
Sagar Negi has skills in AAS, Azure, Azure Data Factory, Azure Data Lake, azure data warehouse, Azure Databricks and more.
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