Lausanne Metropolitan Area
With over 5 years of experience as a Data Engineer, I am part of the Data Factory team at Azure Software Designer, where I focus on technical migration and the industrialization of proof of concepts towards Microsoft Fabric. My work involves developing and maintaining batch and streaming data pipelines using Python/PySpark and Azure Cloud, ensuring seamless data integration and efficiency. As a Lead Teacher at Le Wagon, I share my expertise in data engineering concepts, mentoring students through coding challenges and supervising projects in areas such as data engineering pipelines, machine learning, and deep learning. My commitment to excellence is grounded in my skills in data governance, data warehousing, and computer science, which I continuously leverage to empower teams and students alike.
Teaching Data Engineer concepts to students - Lecturing - Helping students solve their daily coding challenges - Supervising student's project week (data engineering pipelines(Streaming orBatch),reinforcement learning, machine learning, deeplearning, ...) - Giving different workshops online and offline. (Web scraping, Machine Learning, Graph Databases, ...)
Azure Software Designer energies sector (since June 2024): - Part of a data factory team - In charge of the technical migration towards Microsoft Fabric (writing guidelines and good practices) - In charge of the implementation towards Microsoft Fabric (Industrialisation of the POCs) Azure Data Engineer energies sector (January 2023 - June 2024): - Part of a data factory team - Focus on developing/maintenant project - Batch/streaming data pipeline using mostly Python/Pyspark and Azure Cloud - Microsoft Fabric Pocs Data Architect/Data Engineer for a maritime firm (3 months): - gathering business needs to create a data platform - conception and creation of an Azure data platform (batch and streaming part) Internal Bootcamp lead: - Creation of the strategy of the bootcamp - Onboarding new employees - Introduction to Data Engineering - Introduction to the Cloud - Azure - Azure Certification Coaching - Use case preparation Azure, Azure Data Lake, Azure Synapse, Azure functions, Azure event Hub, terraform, Azure SQL DB, Azure Key Vaults, Azure AI vision, Microsoft Fabric Python, T-Sql, Pyspark
addData helps ambitious organizations leverage the power of artificial intelligence in the most pragmatic way possible. We help CMOs and CEOs set up their first experiments in machine learning and help them build a 360° view on their customer base as a trusted implementation partner of customer data platforms. We combine the deep technical expertise of data scientists with the creative and strategic know-how of consultants to help bridge the gap between decision makers and the real of artificial intelligence. addData is part of Customer Collective. Missions: - Creation of an Azure Cloud Data Infrastructure to reduce the manual input from different IT projects and create automated Power BI Dashboards (Azure Data Factory, Azure Key Vaults, Azure SQL Database, PowerBI) - Creation and automation of an RFM model to steer retention campaigns at a retail wholesale company. - Ingest extra End 2 End digital campaign data into the Azure databases, and adjusted the PowerBI dashboard (Azure Data Factory,Azure DataWarehouse, Azure Key Vaults, Azure SQL Database, Azure Databricks, PowerBI) - Creation of new variables out the usage of a digital platform to improve the existing predictive model
As a Technology Analyst, my main responsibilities include: - understand complex business processes (such as procurement, HR, sales, production and IT systems) and the control system within them - support organizations in risk management and internal controls to enhance efficiency - work on third-party assurance reports for companies delivering services to other organizations Analyst - Build up some SQL script or update the existing one - work for financial audit as an external auditor for some engagements