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Moaz E.

Data Engineer

Moaz is a highly skilled Data Engineer with an extensive background spanning five years of valuable experience.

Throughout his career, Moaz has garnered experience in the FinTech, telecom, and food delivery sectors, acquiring valuable commercial insights in each field.

One of Moaz's standout achievements involves his pivotal role in constructing a data analytics platform from scratch for a FinTech startup with a strong emphasis on data. Gradually, he transformed this platform into an exceptionally efficient solution by establishing a robust foundation, representing a significant milestone in his career progression.

Beyond work, his interests encompass global travel, showcasing his curiosity and deep passion for immersing himself in diverse cultures and experiences.

Main expertise
  • Data Engineering 6 years
  • Python
    Python 7 years
  • Google Cloud
    Google Cloud 3 years
Other skills
  • Kubernetes
    Kubernetes 3 years
  • Redis
    Redis 2 years
  • gRPC
    gRPC 2 years
Moaz
Moaz E.

Egypt

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Selected experience

Employment

  • Senior Data Engineer

    Klivvr - 1 year 7 months

    • Established Data Analytics Platform foundation using Airbyte, Google BigQuery, Apache Airflow, DBT, and Looker;
    • Configured Airbyte for streamlined data ingestion.
    • Leveraged Google BigQuery as the central data warehouse;
    • Integrated Apache Airflow to automate and manage data workflows;
    • Utilized DBT to create and maintain a streamlined data modeling and transformation process;
    • Integrated Looker for data visualization;
    • Supported troubleshooting and technical issues.

    Technologies:

    • Technologies:
    • Python Python
    • Kubernetes Kubernetes
    • Google Cloud Google Cloud
    • BigQuery BigQuery
    • Apache Airflow Apache Airflow
    • SQL SQL
    • PostgreSQL PostgreSQL
  • Senior Data Engineer

    Talabat | Delivery Hero - 1 year 3 months

    • Contributed to the development of a Machine Learning and Data Analytics Platform using the Google Cloud Ecosystem, including BigQuery, Apache Airflow, Pub/Sub, and Google Analytics;
    • Utilized BigQuery for efficient data storage and analysis;
    • Integrated Apache Airflow to automate and manage data workflows;
    • Implemented Pub/Sub for reliable messaging and real-time data streaming;
    • Incorporated Google Analytics to gather insights from user interactions;
    • Worked on optimizing platform performance and scalability.

    Technologies:

    • Technologies:
    • Python Python
    • Google Cloud Google Cloud
    • BigQuery BigQuery
    • Apache Airflow Apache Airflow
    • Terraform Terraform
    • SQL SQL
    • AWS SQS AWS SQS
    • AWS Lambda AWS Lambda
  • Big Data Specialist

    Vodafone - 1 year

    • Contributed to the development of a Big Data Platform within the Cloudera Ecosystem, incorporating Apache Spark, Hadoop, Apache Kafka, Apache Flume, Apache Hive, and Impala;
    • Designed robust and scalable data ingestion solutions and pipelines;
    • Formulated and automated preprocessing and ingestion of data batches and streams.

    Technologies:

    • Technologies:
    • Python Python
    • Cloudera Cloudera
    • Apache Hive Apache Hive
    • Hadoop Hadoop
    • Apache Kafka Apache Kafka

Education

  • BSc.Media Engineering and Technology

    German University in Cairo · 2011 - 2015

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