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ETL Datawarehouse
Back-end
Business Intelligence
Designed and automated ETL pipelines for data collection, cleaning, and transformation from multiple sources (SQL databases, APIs, CSV files, Cloud systems). Centralized and processed large volumes of data in Big Data environments (Databricks, PySpark, Hadoop). Developed analytical notebooks (Jupyter, Databricks) for data exploration, modeling, and quality monitoring, along with building supervised and unsupervised Machine Learning models.
Designed and developed telemetry and technical control software for FIA-CIK racing competitions, creating race data visualization tools and engine compliance verification software.
Spécialisations : ETL, Data Pipelines, Databricks, PySpark, Python, SQL, Big Data, Machine Learning (supervised & unsupervised), Business Intelligence
State Exam for Engineer Qualification.