Nidhal Satouri
Senior Data Consultant @Octo Technology
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WORK HISTORY
Senior Data Consultant @Octo Technology
Paris, FR
Allianz]- Helped the business teams map and evaluate their SAS analytics programs and tables- Migrated two analytics pipelines from SAS to Azure Synapse & Power BITools : Python, PySpark, SQL, Azure Synapse, Power BI[TotalEnergies Digital Factory]- Participated in the framing of data use cases in 3 projects (C-Track, POI Finder, Job Suite)- Participated in the design of tailored cloud architecture for data ingestion and valorisation - Created data models (Conceptual, Logical, Physical)- Collected and analyzed business data ingestion rules- Implemented data pipelines (ETL) for Batch, API (Pull/Push) or Events consumption- Implemented unit/integration tests and write technical documentation- Setup data quality checks- Setup CI/CD workflows - Automated and monitored pipelines executions- Participated in the transfer of projects to RUN teamsTools: AWS, Azure, Python, SQL, Terraform, Docker, Github Actions, Data Galaxy, Kafka, PostgreSQL, SQL Server, OpenAPI
EDUCATION
Bowling Green State University
Master of Science (M.S.), Analytics
Houmt Souk High School 1 - Djerba
National Baccalaureate Exam (University Entrance Exam), Computer Science
INSAT - Institut National des Sciences Appliquées et de Technologie
Engineer's degree, Software Engineering
SKILLS
ABOUT NIDHAL SATOURI
I am a multi-skilled Data Consultant who couples business sense and ingenuity. I hold a masters in Data Analytics and I am passionate about turning data into products, valuable insights, and meaningful stories. I am always eager to learn new Data Engineering and Machine Learning techniques and grasp the industry best practices in solving data-driven problems. I enjoyed contributing so far to data projects in different business sectors like banking, insurance, hospitality, and energy. During these projects, I worked on a variety of use cases like : data analysis and modeling, design and setup of cloud data architectures, implementation of ETL and predictive pipelines, helping clients with data governance and building reports/dashboards, etc.Here\'s a non exhaustive list of my technical skills : Methods: EDA, ETL, Data Scraping/Cleansing, Predictive Analytics, Clustering, Time Series, Deep LearningProgramming: Python, PySpark, SQL, R, Shell, JavaAnalytics/Data Viz: PowerBI, Jupyter, Alteryx, DataikuCloud/Big Data: AWS, Azure, Kafka, Snowflake, Hadoop (MapReduce), Spark, Cassandra, HiveDevOps: Git, Terraform, Github Actions, Docker, AnsibleI love to broaden my professional network. Reach out if you want to collaborate. s••••••••@gmail.com
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