Moaz ElNashar

Senior Data Engineer at Klivvr
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Contact Information
us****@****om
(386) 825-5501
Location
Egypt, EG
Languages
  • Arabic Native or bilingual proficiency
  • English Full professional proficiency

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Bio

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Credentials

  • Apache Spark Application Performance Tuning
    Cloudera
    Jan, 2021
    - Nov, 2024
  • Data Engineering Challenge
    MAPEGY.SCOUT
    Oct, 2018
    - Nov, 2024

Experience

    • Financial Services
    • 100 - 200 Employee
    • Senior Data Engineer
      • Nov 2022 - Present

    • United Arab Emirates
    • Technology, Information and Internet
    • 700 & Above Employee
    • Senior Data Engineer
      • Jul 2021 - Nov 2022

    • United Kingdom
    • Telecommunications
    • 700 & Above Employee
    • Big Data Specialist
      • Aug 2020 - Jul 2021

      Working on the development of Big Data Platform using Cloudera Ecosystem (Apache Spark, Hadoop, Apache Kafka, Apache Flume, Hive Impala). - Work on all data ingestion tasks related to the Big Data platform. - Design scalable reliable data ingestion solutions and pipelines. - Design and automate data batches and streams pre-processing and ingestion. - Work with data scientists team to understand and plan features, put the architecture of features, estimate it and document it. Working on the development of Big Data Platform using Cloudera Ecosystem (Apache Spark, Hadoop, Apache Kafka, Apache Flume, Hive Impala). - Work on all data ingestion tasks related to the Big Data platform. - Design scalable reliable data ingestion solutions and pipelines. - Design and automate data batches and streams pre-processing and ingestion. - Work with data scientists team to understand and plan features, put the architecture of features, estimate it and document it.

    • Netherlands
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Big Data Engineer
      • Jan 2019 - Aug 2020

      Working on the development of a scalable video processing and analysis platform which can easily integrate unlimited number of Artificial Intelligence and Computer Vision algorithms in no time in order to analyze thousands of videos efficiently in real-time. - Responsible for developing and maintaining the pipeline of the platform using some big data tools: Apache Storm, gRPC, RabbitMQ, Redis and Kubernetes. Working on the development of a scalable video processing and analysis platform which can easily integrate unlimited number of Artificial Intelligence and Computer Vision algorithms in no time in order to analyze thousands of videos efficiently in real-time. - Responsible for developing and maintaining the pipeline of the platform using some big data tools: Apache Storm, gRPC, RabbitMQ, Redis and Kubernetes.

    • United States
    • Software Development
    • 700 & Above Employee
    • Managed Services Consultant
      • Oct 2017 - Dec 2018

      Working on the development of a Data warehouse that contains data coming from different data sources. - Responsible for data analyzing using intensive SQL Ad-Hoc Queries based on business requests coming from different sources. - Creating SQL procedures for automating ETL jobs. - Maintaining the data warehouse life cycle. Working on the development of a Data warehouse that contains data coming from different data sources. - Responsible for data analyzing using intensive SQL Ad-Hoc Queries based on business requests coming from different sources. - Creating SQL procedures for automating ETL jobs. - Maintaining the data warehouse life cycle.

    • Egypt
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Software Engineer
      • May 2016 - Oct 2017

    • Germany
    • Research Services
    • 100 - 200 Employee
    • Bachelor Thesis Student
      • Mar 2015 - Aug 2015

Education

  • The German University in Cairo
    Bachelor of Science - BS, Computer Science and Engineering
    2012 - 2016

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