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Data Consultant / Data Engineer
Data Engineer at Nemo Technology building production data pipelines and a data quality platform with Spark, dbt, and Airflow.
FranceData Consultant / Data Engineer at Nemo Technology
Designed, developed, and maintained large-scale data ingestion pipelines in production using the Hadoop ecosystem, ensuring data quality and reliability. Developed and optimized distributed processing jobs with Apache Spark, and played a key role in implementing a data quality platform with automated tests via dbt and SQL.
SparkHadoopDBTSQLAirflowAnsibleOpenLineageMarquezHivePower BINiFi
Developed and maintained ETL pipelines and analytical datasets for the banking sector, created dbt models and SQL transformations for KPI reporting, and optimized SQL and Spark performance.
SQLDBT
Diplôme d'Ingénieur en Informatique with a specialization in Big Data & AI, focusing on data engineering, big data architectures, distributed systems, and artificial intelligence.
Licence en Mathématiques et Informatique, providing a solid foundation in mathematics, algorithms, programming, and computational thinking.
Implemented machine learning models for data analysis and insight extraction, participated in Agile sprints, created Power BI dashboards for anomaly detection, and managed GitLab CI/CD pipelines for data project deployment.
SQLDBTPower BIGitLab CI CDPythonscikit learnPandasMatplotlib
Worked on a sentiment analysis project, analyzing public datasets and developing dashboards, with implementation of machine learning and deep learning models for decision support and advanced insight extraction.
Profile sourced from Himalayas.