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Parag Gupta
Computer Scientist at Adobe
Education
• ajay kumar garg engineering college
Companies
• adobe
• directi
• tokopedia
• paytm
• to the new
Experience
8.3 Years
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Skills
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Aerospike
Airflow
Amazon EC2
Amazon S3
Amazon Web Services (AWS)
Ansible
Apache Airflow
Apache Kafka
architecture
auditing
Azure
Big Data
centos
Ceph
chef
CI/CD
Cloud Computing
Configuration Management
Continuous Integration
Data Center
DevOps
disaster recovery
Distributed Storage
Docker
Elastic Stack (ELK)
ElasticSearch
GlusterFS
Google Cloud Platform (GCP)
Grafana
HAProxy
infra
Infrastructure
Integration
IP
Java
Jenkins
JMeter
Kernel
Kernel-based Virtual Machine (KVM)
Kong API Gateway
Kubernetes
Linux
linux
Logical Volume Manager (LVM)
Logstash
Microsoft Azure
Monit
MySQL
Nagios
Network Architecture
Networking
New Relic
Nginx
OpenStack
Pinpoint
PostgreSQL
Prometheus
Puppet
Python
Python (Programming Language)
RabbitMQ
Redis
Research Scientist
SaltStack
security
Security Audits
Shell Scripting
SQL
SRE
Terraform
test
Tomcat
Unix
Virtualization
Vulnerability Management
Contact Details
Email (Verified)
parXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXX53Education
ajay kumar garg engineering college
Bachelor of Technology (B.Tech.)
2012 - 2016
Frequently asked questions
What company does Parag Gupta work for?
Parag Gupta works for adobe
What is Parag Gupta role in his workplace?
Parag Gupta's role in his workplace is Computer Scientist
What is Parag Gupta's tenure in his workplace?
Parag Gupta's tenure in his workplace is 2.92 years
What is Parag Gupta's total experience?
Parag Gupta's total experience is 8.25 years
What is Parag Gupta's LinkedIn profile?
What is Parag Gupta's email address?
What is Parag Gupta's phone/WhatsApp number?
What schools did Parag Gupta attend?
Parag Gupta has attended ajay kumar garg engineering college
What companies has Parag Gupta worked with?
Parag Gupta has worked with adobe, directi, tokopedia, paytm, to the new
What are some of Parag Gupta's skills?
Parag Gupta has skills in Aerospike, Airflow, Amazon EC2, Amazon S3, Amazon Web Services (AWS), Ansible and more.
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