Mahmoud A.

As a highly skilled Data Engineer, I bring a robust background in designing, implementing, and optimizing data pipelines and infrastructures. With a passion for transforming raw data into actionable insights, I specialize in building scalable data solutions that drive business growth and efficiency.

What I Can Do:

Data Pipeline Development: Expert in developing and maintaining efficient data pipelines using tools like Apache Spark, Apache Kafka, and Apache Airflow.

ETL Processes: Proficient in creating and managing ETL (Extract, Transform, Load) processes to ensure seamless data integration and transformation.

Database Management: Skilled in working with various database systems including SQL, NoSQL, and cloud databases like AWS Redshift, Google BigQuery, and Azure SQL Database.

Big Data Technologies: Extensive experience with big data technologies such as Hadoop, Hive, and Pig to handle large-scale data processing.

Data Warehousing: Expertise in designing and implementing data warehouses to support robust data analytics and reporting.

Data Modeling: Strong ability to design data models that ensure data accuracy, consistency, and integrity.

Cloud Platforms: Proficient in leveraging cloud platforms like AWS, Google Cloud, and Azure for data storage, processing, and analytics.

Programming Languages: Advanced knowledge of Python, SQL, Java, and Scala for data manipulation and analysis.

Data Visualization: Adept at creating insightful data visualizations using tools like Tableau, Power BI, and Looker.