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Ahmed ErakiData Engineer
Skills
  • •Programming Languages: Python, PL/SQL
  • •Data Engineering: Informatica Power Center, Snowflake, PySpark, Apache Airflow, PostgreSQL
  • •Cloud & Infrastructure: Azure Datbricks, AWS S3, AWS Glue, Git
Experience
Data Engineer | 10alytics
Sep 2024 – present
  • •Designed and implemented a robust ETL framework with Apache Airflow and Git, reducing pipeline failures by 35%.
  • •Optimized data pipelines using PySpark and PostgreSQL, accelerating batch processing by several hours while handling large OLAP datasets from major banking clients, ensuring scalability and reliability.
  • •Developed scalable data solutions with Azure Databricks, Data Factory, and Blob Storage, ensuring secure and efficient data management.
  • •Used Informatica Power Center for ETL process from heterogenous source systems into target database developing mappings to facilitate timely loading of data of a star schema.
    • Data Engineer | Flip Robo Technologies
    May 2023 – Aug 2024
  • •Automated data validation and cleansing processes using Python and Apache Airflow, ensuring high-quality, reliable datasets for AI model development and training, while reducing manual intervention.
  • •Designed and implemented cloud-based data architecture on AWS, enabling scalable analytics solutions and seamless data provisioning for AI model training and development.
  • •Integrated external APIs and web scraping techniques (Python, Beautiful Soup, Selenium) to enrich datasets for analytics and model training.
  • •Built end-to-end data pipelines using Apache Spark and SQL for AI-driven applications, enabling real-time insights for product and engineering teams.
    • Data Engineer | El Waly Group
    Jul 2019 – Oct 2022
  • •Built ETL pipelines with Python, PostgreSQL, and Airflow, streamlining data workflows and enhancing the accuracy and speed of hydraulic performance analysis.
  • •Engineered and delivered the organization's Snowflake data warehouse with optimized schema design, enhancing reporting efficiency and supporting data-driven strategic infrastructure decisions.
  • •Developed predictive models in Python to forecast system performance and infrastructure stress points, enabling proactive maintenance and reducing downtime.
    • Education
    PG Program in Data Science, DataTrained Education, India
    Jan 2023 – Jan 2024
    Faculty of Engineering , Fayoum University, Bachelor's Degree
    Sep 2012 – May 2017