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Wallison Campanelli

@wallisoncampanelli

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Data Engineer with expertise in scalable data pipelines and cloud solutions.

Portugal

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What I'm looking for

I am looking for a role that fosters innovation, collaboration, and growth opportunities in data engineering.

I am a Data Engineer with a strong background in designing, building, and optimizing scalable data pipelines and cloud-based solutions. My experience includes advanced skills in Python, SQL, and distributed data processing technologies such as PySpark and Databricks. I have a proven track record of delivering actionable insights and robust data infrastructure that supports analytics, business intelligence, and machine learning.

Throughout my career, I have worked with leading organizations like 3M and CERN, where I developed and optimized data pipelines, automated ETL workflows, and created impactful Power BI dashboards. My work has led to significant improvements in operational efficiency, such as reducing manual reporting time by 90% and enhancing on-time deliveries by 15%. I am currently pursuing a PhD in Physics at the University of Lisbon, where I continue to innovate in data engineering and scientific research.

Experience

Work history, roles, and key accomplishments

Current

PhD Researcher – PT-CERN Fellowship

Current

LIP / University of Lisbon

Jan 2022 - Present (3 years 6 months)

Designed and deployed automated calibration pipelines for scientific detectors using Python, C++, and Azure Databricks. Managed data acquisition, instrumentation, and integration with cloud platforms (Azure, AWS).

Python C++Databricks Azure AWS ETL Machine Learning

Temporary Data Engineer & Instrumentation Specialist

CERN

Apr 2023 - Sep 2023 (5 months)

Developed and maintained data ingestion and transformation pipelines for scientific experiments using Python and SQL. Assisted in deploying and validating cloud-based storage (AWS S3) for large-scale experimental data.

Python SQL AWS S3 Parquet Data Ingestion

Data Analyst – Supply Chain

3M Brasil

Jan 2022 - Sep 2022 (8 months)

Built and optimized data pipelines using Python and SQL, integrating data from SAP, Snowflake, and cloud sources (AWS S3, Azure Blob). Developed Power BI dashboards and automated ETL workflows, reducing manual reporting time by 90%.

Python SQL SAP Snowflake AWS S3 Power BI ETL

Data Analyst Intern – Business Intelligence

3M Brasil

Jan 2021 - Dec 2021 (11 months)

Developed Power BI dashboards and automated reporting using Excel VBA and SQL. Enhanced ETL workflows and data integrity for business analytics.

Power BI VBA SQL ETL Data Integrity Business Analytics

Education

Degrees, certifications, and relevant coursework

University of Lisbon

PhD in Physics, Physics

Currently pursuing a PhD in Physics, focusing on designing and deploying automated calibration pipelines for scientific detectors. Managing data acquisition, instrumentation, and integration with cloud platforms, while building scalable ETL processes for high-volume experimental data.

Universidade Federal de Alfenas (UNIFAL)

MSc in Physics, Physics

Completed a Master of Science in Physics, gaining advanced knowledge in theoretical and experimental physics. Developed strong analytical and problem-solving skills applicable to complex scientific data.

Universidade Federal de Alfenas (UNIFAL)

Bachelor in Mining Engineering, Mining Engineering

Obtained a Bachelor's degree in Mining Engineering, which provided a foundational understanding of engineering principles and data analysis. This included coursework relevant to large-scale data management and process optimization.