Available to hire
I am a data engineering professional with hands-on experience designing and delivering end-to-end data pipelines using Azure Data Factory, Databricks, PySpark, and Python. I thrive on turning complex data into reliable, scalable solutions and collaborating with analysts and stakeholders to drive data-driven decisions.
I am dedicated to helping others, I enjoy teaching and mentoring teammates, and I document data lineage and transformations to ensure data quality and transparency. I approach challenges as a problem solver with integrity and an open mind, always ready to adapt to new tools and approaches.
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Work Experience
Senior Data Engineer at Volvo Group (Volvo IT)
January 1, 2013 - PresentDesigned and implemented end-to-end data pipelines using Azure Data Factory; orchestrated ETL workflows; leveraged Databricks for large-scale data processing and analytics; managed Azure Blob Storage, Azure SQL Database, and Data Lake Storage; designed data models and ERDs; wrote PySpark, Scala, and Pandas scripts; built real-time and batch data ingestion pipelines; optimized Spark configurations and resources; documented data lineage and dependencies; collaborated with analysts and stakeholders.
Credit Specialist Sr at HSBC Bank
January 1, 2010 - January 1, 2013Key member of the data science team for Credit Risk ML initiatives; prepared data for ML models (cleaning, feature engineering, data consistency); collaborated with other data engineers to ensure robust data pipelines; delivered production data for model training and deployment.
Sr System Analyst at SPAIPA IND. BRAS. DE BEBIDAS S/A. (Coke franchise)
January 1, 2005 - January 1, 2010Collected IT requirements across Sales, Logistics, Market Research, Material Control and Finance; data modeling and data marts/warehouses; data integration between Oracle staging and SAP modules; ETL performance monitoring; developed well-documented code and trained team.
BI Coordinator at SPAIPA IND. BRAS. DE BEBIDAS S/A. (Coke franchise)
January 1, 2013 - January 1, 2013Coordinated BI initiatives; gathered business requirements; built BI platform; developed Data Marts/Data Warehouses; data integration between Oracle and SAP; monitored ETL performance; ensured data integrity and governance.
Education
Qualifications
Bachelor of Business Administration (International Business focus)
January 11, 2030 - April 8, 2026Machine Learning Crash Course with TensorFlow APIs provided by Google
January 11, 2030 - April 8, 2026Advanced Data Engineering with Databricks
January 11, 2030 - April 8, 2026Azure DevOps Services Fundamentals
January 11, 2030 - April 8, 2026Docker and Kubernetes: The Big Picture
January 11, 2030 - April 8, 2026SAS Programming I
January 11, 2030 - April 8, 2026IBM Cognos
January 11, 2030 - April 8, 2026Industry Experience
Software & Internet, Financial Services, Professional Services, Manufacturing, Consumer Goods
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