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Achievement: Pull Sharkx2

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Achievement: Pull Sharkx2

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ahmadMuhammadGd/README.md

hey there 👋

I'm Ahmad from Egypt 🔭

I'm a Data Engineer with an electronics and electrical communication engineering background. I work with Python, Apps Script, Apache Airflow, Spark, SQL, and Docker.

🎲 Check Out My Best Tools

  • 🐼 Pandas DataFrame Corrupter: Python tool designed for data engineering and testing pipelines. It allows you to apply various data corruption strategies to Pandas DataFrames, helping simulate data anomalies and edge cases for testing and development purposes.

  • 📑 SQLify - SQL inside Google Apps Script: SQLify for Apps Script simplifies data manipulation tasks within Google Apps Script by integrating SQL capabilities. It allows you to handle data more efficiently, leveraging the power of SQL queries directly within your Apps Script projects.

🛠 Language and tools

docker logo python logo mysql logo javascript logo bash logo debian logo

Pinned Loading

  1. Fraud-Detection-Data-LakeHouse Fraud-Detection-Data-LakeHouse Public

    Python 8 6

  2. BigQuery-NLP-Mongodb-ELT BigQuery-NLP-Mongodb-ELT Public

    Jupyter Notebook

  3. SALES_DWH_AIRFLOW SALES_DWH_AIRFLOW Public

    Testing a DWH implementation using MYSQL

    Python

  4. SQLify-SQL-inside-Google-Apps-Script SQLify-SQL-inside-Google-Apps-Script Public

    JavaScript 1

  5. Pandas-Data-Frame-Corrupter-For-Data-Pipeline-Tests Pandas-Data-Frame-Corrupter-For-Data-Pipeline-Tests Public

    Python

  6. Aspect-based-sentiment-analysis-of-a-Quality-Street-Choclate-Product Aspect-based-sentiment-analysis-of-a-Quality-Street-Choclate-Product Public

    Aspect-Based Sentiment Analysis (ABSA) is a technique used to analyze the sentiment of different aspects or features of a product or service based on text data, such as customer reviews or feedback.

    Jupyter Notebook 1