Hamza AJEDDIG, PhD's Linkedin Analytics

Experienced Data Engineer with 5 years of expertise as a Data Engineer/Lead in the luxury retail, Pacific fishing, and space industries. Skilled in programming and proficient in Python, Java, IDL, and Fortran. I have a deep understanding of algorithms and advanced expertise in designing and implementing high-performance data storage and processing solutions tailored to business needs. My profile focuses on data management and architecture, with expertise in Google Cloud Platform (GCP) and Azure. ENVIRONMENTS: Programming Languages: Python, Java, IDL, Fortran Databases: SQL, SQL Server, MySQL Big Data Tools: HDFS, Hive, HBase, Apache Beam, Apache Spark, Apache Kafka, Apache Airflow Cloud Technologies: GCP (Google Cloud Storage, Datastore, App Engine, Cloud Functions, BigQuery, Dataflow, Dataprep, Dataproc, Pub/Sub, Composer, Cloud Run, Cloud Build, Kubernetes Engine, Artifact Registry, Vertex AI, SQL Spanner, Cloud SQL, Bigtable, Firebase), Azure DevOps Tools: Docker, Kubernetes, Git, GitHub, GitLab CI/CD, Terraform, Jenkins Data Visualization Tools: Power BI, Tableau, Dash, Plotly Databases: MongoDB, Elasticsearch Web Frameworks: Flask, FastAPI, REST API Agile Methodologies: Scrum, Agile FORMATIONS / CERTIFICATIONS: Ph.D. in Data Analysis and Reduction from Université Paris-Saclay Master's in Modeling and Data Processing from Université Côte d'Azure - Nice Master's in Computational Physics and Modeling from Univ. Cadi Ayyad, Marrakech Certifications: GCP Professional Cloud Engineer, GCP Cloud Engineer Associate, GCP Cloud Professional Architect (in progress), Azure Associate Cloud Engineer, Data Engineer from datascientest.com, Azure DataBricks & Spark Core, Terraform, MLOps (Udemy), 15 certifications from DataScientest.com LANGUAGES & OTHER INTERESTS: Business Knowledge: Expert in Data Intelligence with a focus on distributed systems and Big Data. Understanding complex Big Data requirements and knowledge of On-Premise and Cloud data architecture. Development: Proficient in data analysis with Python using Spark framework, streaming data processing, development in Big Data (Hadoop) and Cloud (GCP) environments. User Support: Design and deliver user training and support. Write user manuals. EXPERIENCES PROFESSIONNELLES: