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Sparsh Singhal
Senior Infrastructure Consultant (DevOps)
Education Overview
• delhi university
Companies Overview
• ibm
• streamsets
• thoughtworks
• amazon
• hashmap
• softechpedia
Experience Overview
7.7 Years
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Experience
Skills
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Algorithms
Amazon Athena
Amazon Elastic MapReduce (EMR)
Amazon Web Services (AWS)
aws
Backend
Bash
Big Data
C++
ci - cd
CI/CD
cloud computing
Cloud Computing
Debugging
Design
devops
DevOps
docker
Docker
Education
Google Cloud Platform (GCP)
grafana
Grafana
Hadoop
HTML
IIS
infra
Infrastructure
Internet Information Services (IIS)
Java
JavaScript
kubernetes
Kubernetes
Leadership
Linux
linux
Management
MapReduce
Microservices
Microsoft Office
Microsoft SQL Server
monitoring
MySQL
Networking
Nonprofits
open source
Operating Systems
PHP
prometheus
Prometheus
Public Speaking
Research
Research Scientist
security
Senior Software Engineer
servers
Site Reliability Engineering
Social Media
Software Engineer
SQL Server Management Studio
SRE
strategy
terraform
Terraform
Web
Web Services
Yarn
Contact Details
Email (Verified)
spaXXXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXX27Education
delhi university
Bachelor of Technology (B.Tech.)
2013 - 2017
Frequently asked questions
What company does Sparsh Singhal work for?
Sparsh Singhal works for ibm
What is Sparsh Singhal role in his workplace?
Sparsh Singhal's role in his workplace is Devops Engineer 3 - Streamsets
What is Sparsh Singhal's tenure in his workplace?
Sparsh Singhal's tenure in his workplace is 0.34 years
What is Sparsh Singhal's total experience?
Sparsh Singhal's total experience is 7.67 years
What is Sparsh Singhal's LinkedIn profile?
What is Sparsh Singhal's email address?
What is Sparsh Singhal's phone/WhatsApp number?
What schools did Sparsh Singhal attend?
Sparsh Singhal has attended delhi university
What companies has Sparsh Singhal worked with?
Sparsh Singhal has worked with ibm, streamsets, thoughtworks, amazon, hashmap, softechpedia
What are some of Sparsh Singhal's skills?
Sparsh Singhal has skills in Algorithms, Amazon Athena, Amazon Elastic MapReduce (EMR), Amazon Web Services (AWS), aws, Backend and more.
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