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Monik Bhesaniya

Data Engineering Analyst

  • Mendarda, GJ
  • 1 years
Notice Period: 90 Days

    Candidate's About

    A certified AWS Data Analytics professional with 2+ years of experience, dedicated to implementing scalable data solutions, applying best practices, and assisting organizations in leveraging data for effective solutions.

    Work & Experience

    D

    Data Engineering Analyst

    Aug 22 - PRESENT

    Technology

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      AWS
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      Python
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      Apache Spark
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      Docker
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      Kubernetes
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      SQL (Advance)

    Tools

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      Docker
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      Github
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      Jira
    • Processed extensive data repositories for a retail client using Apache Spark and AWS Elastic MapReduce (EMR), resulting in a fully centralized infrastructure for their data needs.
    • Achieved cost savings exceeding 30% by optimizing resource utilization and applying best practices through collaboration with the platform team and business teams.
    • Implemented Apache Airflow Direc...
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    D

    Data Engineering Associate

    Jun 21 - Aug 22

    Technology

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      Python
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      Git
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      Snowflake
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      AWS
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      SQL (Advance)

    Tools

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      Eclipse
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      Visual-Studio
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      Jira
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      Github
    • Collaborated with a pharmaceutical client to accelerate their analytical processing by 10 times by facilitating the ETL of their on-premises data into the Snowflake data warehousing infrastructure.
    • Managed more than 20 ETL workflows using Python scripts and UC4 job scheduling, establishing end-to-end data pipelines providing continuous data flow from source to target.
    • Deve...
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    Education

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    B. E.

    L D College of Engineering
    2017 - 2021
    P

    H.S.C.

    P & B School
    2016 - 2017

    Certificates

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    AWS Certified Developer - Associate (DVA-C02)

    Amazon Web Services
    2023 -
    A

    AWS Certified Data Analytics - Specialty

    Amazon Web Services
    2023 -

    Achievements

    • Winner of Pinnacle award for FY22 which is awarded to the best new joiner performers.
    • Received multiple recognition on public forums by the leads for delivering quality work.