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Aayush Garg
Sr. BI Data Engineer at Klaviyo
Education Overview
• boston university
• manipal institute of technology
Companies Overview
• klaviyo
• carbonite
• enquero
• ebsco information services
• boston university
• infosys
Experience Overview
11.3 Years
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Experience
Skills
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Airflow
Amazon S3
Apache Airflow
Apache Spark
Application Programming Interfaces (API)
AWS Lambda
Azure
Azure Data Factory
Big Data
business intelligence
Business Intelligence (BI)
Cassandra
Data Engineering
Data Warehouse
Data Warehousing
Design
Elastic Search
Extract, Transform, Load (ETL)
Identity & Access Management (IAM)
Informatica
Logic and Reasoning
Machine Learning (ML)
Microsoft Azure
MySQL
operations
Pandas
Pandas (Software)
PostgreSQL
Python
R
Representational State Transfer (REST)
REST
Search
Sentiment Analysis
Sourcing
SQL
sql server
SQL Server Integration Services (SSIS)
SQL Server Reporting Services (SSRS)
SSIS
SSRS
Stored Procedures
Tableau
Contact Details
Email (Verified)
aayXXXXXXXXXXXXXXXXXXinMobile Number
+91XXXXXXXXXXEducation
boston university
Master of Science - MS
2016 - 2017
manipal institute of technology
Bachelor of Engineering - BE
2007 - 2011
Frequently asked questions
What company does Aayush Garg work for?
Aayush Garg works for klaviyo
What is Aayush Garg role in his workplace?
Aayush Garg's role in his workplace is Senior BI Data Engineer
What is Aayush Garg's tenure in his workplace?
Aayush Garg's tenure in his workplace is 3.09 years
What is Aayush Garg's total experience?
Aayush Garg's total experience is 11.25 years
What is Aayush Garg's LinkedIn profile?
What is Aayush Garg's email address?
What is Aayush Garg's phone/WhatsApp number?
What schools did Aayush Garg attend?
Aayush Garg has attended boston university, manipal institute of technology
What companies has Aayush Garg worked with?
Aayush Garg has worked with klaviyo, carbonite, enquero, ebsco information services, boston university, infosys
What are some of Aayush Garg's skills?
Aayush Garg has skills in Airflow, Amazon S3, Apache Airflow, Apache Spark, Application Programming Interfaces (API), AWS Lambda and more.
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