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Ashish (RID : 210ulp89n7f6)

designation   AWS Data Engineer

location   Location : Vadodara

experience   Experience : 10 Year

rate   Rate: $14 / Hourly

Availability   Availability : Immediate

Work From   Work From : Offsite

designation   Category : Information Technology & Services

Shortlisted : 0
Total Views : 49
Key Skills
AWS Data Engineer C# CI/CD Agile Spark
Discription

Project Name

Microsoft Learning  –(Building Data Lake for Microsoft)

Role

Software Engineer II

Description

The key to meeting any and all moments of learning need is using data analytics in L&D (learning and development). With data gathered about learners, about employees’ job performance, and about activity and success (or failure) in eLearning and in application of skills, L&D teams have a wealth of clues as to what’s needed: The data offer insights into what skills people lack, where they need to update, and where they excel.

Working Environment

Docker and Kubernetes, Terraform,  JDK1.8, Scala, C#, Spark, Azure Data Factory, Azure Data Bricks, Azure Resource Manager

 

Responsibilities:

  • Expertise in Terraform for IaC implementation.
  • Proficient in Azure Devops CI/CD for efficient software delivery.
  • Committed to enhancing cloud environment stability through automation.
  • Skilled in Docker and Kubernetes orchestration.
  • Understand all learning related existing system in Microsoft
  • Create Data Injection Pipelines using azure data factory from different source
  • Transform data using Azure Data Bricks
  • Design end to end system to consume the event based data

 

 

Project Name

Mindsphere  –(IIOT Product)

Role

Software Engineer

Description

MindSphere is the open, cloud-based IoT operating system from Siemens that lets you connect your machines and physical infrastructure to the digital world. It lets you harness big data from billions of intelligent devices, enabling you to uncover transformational insights across your entire business.

Working Environment

AWS, Terraform,  Devops, Jenkins, python, Flask, Fast API, NumPy, Pandas etc, Azure Cloud, Terraform, Cloud Foundry.

 

Responsibilities:

  • Expertise in Terraform for IaC implementation.
  • Proficient in Azure Devops CI/CD for efficient software delivery.
  • Committed to enhancing cloud environment stability through automation.
  • Skilled in Docker and Kubernetes orchestration.
  • Create Dynamic Infrastructure on cloud for product deployment using terraform
  • Write cloud agnostic code base to deploy on multiple cloud platform
  • Use spring boot and spring cloud to write micro-services

Write backup, HA and recovery system

 
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