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Gokul Surendra
Big Data Engineer II at Cardlytics
Education Overview
• the university of texas at dallas
• siddaganga institute of technology official
Companies Overview
• cardlytics
• tcs
Experience Overview
8.3 Years
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Experience
Skills
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Adobe Lightroom
Adobe Photoshop
Airflow
Algorithms
Amazon Elastic MapReduce (EMR)
Amazon Web Services (AWS)
apache
Apache Airflow
Apache Spark
Application Programming Interfaces (API)
architecture
Big Data
Cloud Computing
Core Java
DAO
Data Engineering
Data Pipelines
Data Science
Data Scientist
Debugging
Design
Docker
Extract, Transform, Load (ETL)
Functional Testing
Hadoop
Information Retrieval
infra
Infrastructure
J2EE
Java
Kafka
Kubernetes
Machine Learning (ML)
MapReduce
Microservices
performance testing
Photoshop
Play Framework
Representational State Transfer (REST)
REST
Scala
scalability
SQL
sql server
Stored Procedures
test
test cases
testing
ui
Web
Web Development
Contact Details
Email (Verified)
gokXXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXXXXEducation
the university of texas at dallas
Master’s Degree
2016 - 2018
siddaganga institute of technology official
Bachelor’s Degree
2009 - 2013
Frequently asked questions
What company does Gokul Surendra work for?
Gokul Surendra works for cardlytics
What is Gokul Surendra role in his workplace?
Gokul Surendra's role in his workplace is Big Data Engineer II
What is Gokul Surendra's tenure in his workplace?
Gokul Surendra's tenure in his workplace is 6.42 years
What is Gokul Surendra's total experience?
Gokul Surendra's total experience is 8.33 years
What is Gokul Surendra's LinkedIn profile?
What is Gokul Surendra's email address?
What is Gokul Surendra's phone/WhatsApp number?
What schools did Gokul Surendra attend?
Gokul Surendra has attended the university of texas at dallas, siddaganga institute of technology official
What companies has Gokul Surendra worked with?
Gokul Surendra has worked with cardlytics, tcs
What are some of Gokul Surendra's skills?
Gokul Surendra has skills in Adobe Lightroom, Adobe Photoshop, Airflow, Algorithms, Amazon Elastic MapReduce (EMR), Amazon Web Services (AWS) and more.
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