Antoine Vanneste

Introduction

Data Engineer | Python | SQL | Azure | AWS | GCP | Databricks | ETL Pipelines | Data Analytics I am a dedicated Data Engineer with a strong background in cloud technologies and data management. After nearly a decade in the automotive industry, I transitioned to data engineering, bringing my problem-solving skills and hands-on approach to IT. Currently working at Cushman & Wakefield, I specialize in managing and maintaining data within CRM databases, constructing ETL pipelines, and developing CI/CD pipelines on Azure DevOps. My work involves leveraging cloud platforms like Azure, and GCP to deliver robust data solutions. I have experience in: - ETL Pipelines: Building data pipelines using tools such as Databricks and dbt, orchestrated with Azure Data Factory. - Cloud Platforms: Proficient in Azure, AWS, and GCP, including services like BigQuery, Functions, and Storage. - Programming Languages: Skilled in Python and SQL for data extraction, transformation, and analytics. - Data Visualization: Creating insightful visualizations using Power BI and developing web applications with Streamlit. My recent projects include designing data scraping applications, performing geocoding, and integrating APIs for seamless data flow. I am passionate about continuous learning and always ready to tackle new challenges in the data engineering field. Key Skills: - Data Engineering - Python - SQL - Azure - AWS - GCP - Databricks - dbt - ETL Pipelines - CI/CD Pipelines - Data Visualization - Power BI - Streamlit - Data Analytics

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