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Start for FreeRomain Vanden Bossche
Data Engineer @Ypto
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WORK HISTORY
Data Engineer @Ypto
Brussels, BE
Key contributions and achievements at Ypto SA- Led migration of SAS tables to Azure Synapse using contract-driven pipelines (Synapse Pipelines + PySpark), achieving >185K€ annual cost savings- Designed and monitored scalable end-to-end ETL/ELT ingestion pipelines (ADF, Databricks, Logic Apps) from diverse sources (SAP, REST APIs, SharePoint, databases), ensuring reliable data for Public Service Obligations (PSO) dashboards and executive reporting- Developed and maintained Spark-based metadata-driven framework for SAP data extracts, enabling procedural anomaly detection for auditing- Implemented CI/CD pipelines (Git-based) for SQL stored procedures in Synapse DW, accelerating deployments and ensuring test-prod consistency- Authored Confluence documentation and trained teams on CI/CD best practices (branching, pull requests, merge resolution).
EDUCATION
Collège Sainte-Gertrude Nivelles
CESS général en études des techniques et des technologies, techniques et technologies
Institut belge de Kinésiologie
Kinésiologue
CPFB
Réorientation des études
SKILLS
ABOUT ROMAIN VANDEN BOSSCHE
Passionate Data & Cloud Engineer with 3+ years of hands-on experience designing, building, and optimizing scalable data solutions on Azure.Since August 2023 at Ypto (IT subsidiary of SNCB-NMBS), I\'ve led the migration of a large SAS estate (over tables) to Azure Synapse Analytics using contract-driven ingestion pipelines (Synapse Pipelines + PySpark), delivering estimated annual savings >185K€. I\'ve implemented and monitored end-to-end data ingestion pipelines from diverse sources, ensuring reliable and timely data availability for Public Service Obligations (PSO) dashboards and executive reporting. Sources include: SharePoint (Logic Apps), CSV, Excel, MySQL, PostgreSQL, SQL Server, SAP exports (Azure Data Factory), JSON, XML, Parquet (Databricks ETL), REST APIs (Python on Virtual Machines / ADF)Additional achievements: Developed a Spark-based metadata-driven ingestion framework for SAP data extracts feeding a SQL-powered procedural anomaly detection engine.Debugged inconsistent SQL stored procedures across environments.Implemented CI/CD pipelines for versioning, testing, and deploying SQL stored procedures in Synapse DWH.Created comprehensive Confluence documentation, supporting Git workflows, pull requests, merge-conflict resolution, and branching strategies.Key expertise: Azure Data Factory, Databricks, Synapse Analytics (Dedicated/Serverless SQL), ADLS, Logic Apps, Python, SQL, PySpark, Git, Confluence, Jira.Certified: Microsoft Azure Data Engineer Associate (DP-203, Dec 2024)#Azure #DataEngineering #ETL #PySpark #Synapse #CloudComputing # Databricks
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