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Ankit Kansal
Principal Data Engineer at McKinsey & Company
Education
• udacity
• advanced computing training school cdac
• vishveshwarya institute of engineering and technology
• nehru public school ghaziabad
Companies
• mckinsey
• exusia
• synechron
Experience
7.9 Years
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Experience
Skills
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Amazon Web Services (AWS)
Analytics
analytics
Apache Spark
Azure Databricks
Big Data
Business Intelligence
Cloudera Impala
Data Engineering
Data Integration
Data Migration
Data Modeling
Data Warehousing
Database Design
Databases
Design
Dimensional Modeling
ETL
Extract, Transform, Load (ETL)
Flume
Hadoop
Hibernate
Hive
Informatica
MapReduce
MongoDB
Netezza
Oracle
Oracle SQL Developer
PL/SQL
Python
Python (Programming Language)
SQL
Talend Open Studio
Unix
Contact Details
Email (Verified)
ankXXXXXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXX89Education
udacity
NanoDegree Program
2020 - 2020
advanced computing training school cdac
DAC(Diploma in Advance Computing)
2011 - 2012
vishveshwarya institute of engineering and technology
Bachelor In Technology (B.Tech)
2006 - 2011
nehru public school ghaziabad
SSC and HSC
2000 - 2006
Frequently asked questions
What company does Ankit Kansal work for?
Ankit Kansal works for mckinsey
What is Ankit Kansal role in his workplace?
Ankit Kansal's role in his workplace is Principal Data Engineer
What is Ankit Kansal's tenure in his workplace?
Ankit Kansal's tenure in his workplace is 2.09 years
What is Ankit Kansal's total experience?
Ankit Kansal's total experience is 7.92 years
What is Ankit Kansal's LinkedIn profile?
What is Ankit Kansal's email address?
What is Ankit Kansal's phone/WhatsApp number?
What schools did Ankit Kansal attend?
Ankit Kansal has attended udacity, advanced computing training school cdac, vishveshwarya institute of engineering and technology, nehru public school ghaziabad
What companies has Ankit Kansal worked with?
Ankit Kansal has worked with mckinsey, mckinsey, mckinsey, exusia, synechron
What are some of Ankit Kansal's skills?
Ankit Kansal has skills in Amazon Web Services (AWS), Analytics, analytics, Apache Spark, Azure Databricks, Big Data and more.
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