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Rahul (RID : 15cyvln1c4shp)

designation   Python AWS Developer

location   Location : Jaipur, India, India, ,

experience   Experience : 8 Year

rate   Rate: $20 / Hourly

Availability   Availability : Immediate

Work From   Work From : Offsite

designation   Category : Information Technology & Services

Shortlisted : 4
Total Views : 73
Key Skills
Python Database GIT Docker Rabbit MQ Amazon AWS Services DevOps - CI/CD Linux Web Application Scripting Flask/Django
Discription

(confidential)

Senior Consultant | Banking

Apr 2022 – present |

Working in Data and Code migration to extract data, analyze and apply filter(s) on dataset(s) and disseminate them to stage(s).

Data engineering using Pandas, NumPy and other python libraries.

Fix bugs, adding new features and improve existing code.

Write unit test cases and test them with PyTest.

Version controlling with Gitlab and GIT software.

Code review and comments to maintain code quality and correctness.

Knowledge share and help team in need.

 

(confidential) Pvt. Ltd,

Senior Software Engineer | Storage

Feb 2020 – Apr 2022 | Pune, India

Working with Netbackup and Flex products to develop features, fix defects and improvement.

Plugin and feature Development, Scripting, Debug and Fix in Python.

Creating/Modifying REST services using Flask and Using REST services using Request module.

Test REST requests with Postman.

Python Automation and Testing with Firefly. Shell Programming and Basic Command execution in RHEL.

Version Controlling with Bitbucket and GIT software.

Basic Docker operations for Flex product. Basic Operations in Mongo DB.

RabbitMQ for asynchronous communication between services.

Code testing on Netbackup and Flex installed appliances.

Code review and comments to avoid regression and deliver quality.

Knowledge share and help team in need.



 

 

Project Details
Title : Python AWS Project
Duration : (Month)
role and responsibileties :

Working in Data and Code migration to extract data, analyze and apply filter(s) on dataset(s) and disseminate them to stage(s).

Data engineering using Pandas, NumPy and other python libraries.

Fix bugs, adding new features and improve existing code.

Write unit test cases and test them with PyTest.

Version controlling with Gitlab and GIT software.

Code review and comments to maintain code quality and correctness.

Knowledge share and help team in need.



 

Description :

Fix bugs, adding new features and improve existing code.


 
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