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Shrayansh

Data Engineer
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Location Delhi
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Member since30+ Days ago
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Contact Details
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Candidate Information
  • User Experience
    Experience 6 Year
  • Cost
    Hourly Rate$7
  • availability
    AvailabilityImmediate
  • work from
    Work FromAny
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    CategoryInformation Technology & Services
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    Last Active OnJuly 20, 2024
Key Skills
Microsoft AzureETLPython PySpark SQL Shell scripting Mule ESBData Factory Data Bricks Key Vault Gen2 Storage Azure SQL DB
Summary

6 years experience in Big Data Solutions armed with Azure Data Engineer Certification (DP 203) having a passion to solve real-world business challenges using data analytics on Azure Cloud infrastructure. Track record of directing end-to-end software development lifecycle, accomplishing mission-critical projects & delivering user-centric solutions.

PROFESSIONAL EXPERIENCE Development

• Played a key role in formulating technical strategies & development operations to accomplish the tasks

• Handled all the relevant POC required as part of the development activities

• Worked on the PySpark based logic for aggregating, designing, cleansing, transforming structured & semi-structured data.

• Experience in Ingesting the data from different sources using the Pyspark framework and converting the same into the appropriate structure

• Understanding of cloud, data architecture, data modeling, data warehousing, and data lake. Requirement Gathering

• Analyzed the existing system and captured the detailed requirement from the client Client Relationship Management

• Identified improvement areas like suggesting the scalable approach & implementing measures to optimize the process flow in terms of cost and time

• Handled onshore calls and delivered the developed components Team Building & Management

• Responsible for the Development team of 5, enhanced their professional skills and assigned targets to meet deadlines

• Trained a team of 5, monitored & motivated the team, and ensured quality deliverables as per clients' requirements

• Managed the development and deployment in a multi-vendor scenario

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