Nawar is a Data Engineer specializing in designing high-performance data pipelines using Python, PySpark, and Airflow across cloud environments like Azure and GCP. He has a background in data modeling and visualization, holding a Masters degree from the Faculté des sciences de Rab.
Driven by a belief in continuous learning, Nawar frequently pursues new certifications in areas like data analysis, machine learning, and deep learning. He enjoys sharing valuable resources and insights with the broader data engineering community to help others grow professionally.
He designed a real-time data pipeline to process and visualize road traffic data using GCP, PySpark, and Databricks.
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