Data and process engineer with a career marked by the fusion of chemical engineering, data science, and industrial innovation, acting as a catalyst for digital transformations in high-complexity environments. Having worked for multinationals such as Cargill and Bayer, I have developed a unique expertise in integrating disruptive technologies โ such as IoT, generative AI, and Cloud Computing โ into production processes, generating operational efficiency and financial sustainability.
My work ranges from designing robust data pipelines (ETL/ELT) in multicloud environments (AWS, Google Cloud) to leading strategic projects, such as implementing SaaS systems (Hexagon HxGN SDx) and industrial automation tools (PlantPAx), always aligned with agile methodologies (Scrum, Kanban) and excellence frameworks (Lean Six Sigma โ Green Belt). In practice, this translated into results such as a 30% reduction in operational time, elimination of 90% of paper usage through workflow digitization, and identification of 30 tons/month of raw material waste using predictive analysis in Python and real-time dashboards (Power BI, Seeq).
I am passionate about connecting data to strategic decisions, as demonstrated in the development of an AI-based product reallocation simulator for logistics optimization, and in the integration of critical systems (SAP, MES) for unified visualization of KPIs/OKRs at the managerial level. My approach combines strict data governance with design thinking, ensuring that technical solutions โ such as alarm rationalization (SILAlarm) and the implementation of data lakes โ are organically adopted by operational teams, even in multicultural contexts (experience in 15 Latin American plants).
Beyond my technical base, I bring a holistic view of Industry 4.0, combining automation with sustainability initiatives โ such as a 20% increase in reuse water production โ and continuous process improvement via BPMN mapping and root cause analysis. My continuous training in data science (Google Data Analytics, Ada Tech) and experience in scientific publications (CNPq) reinforce my ability to translate data into actionable insights, while skills in change management and team mentoring ensure that innovations not only work but endure.
Integrated keywords: Digital Transformation | IoT | Generative AI | SAP | Lean Six Sigma | Data Governance | Power BI | Python | Scrum | Operational Sustainability | Industry 4.0
| ๐ Nationality | ๐ง๐ท Brazil |
| ๐ก Residency | ๐ง๐ท Brazil |
| ๐ Location | ๐ง๐ท Brazil |
|
|
rok.co/@samarcelo |
|
|
sdfljasfjkhsdfajsf โญ๏ธ Upgrade to Premium to contact |
| Skilled in | aws python data engineering data engineer sql data analysis data analyst office 365 iot continuous improvement lean six sigma lean manufacturing process mapping process automation industry osi soft pi system aveva seen pi af google cloud cloud computing gcp excel sap data governance power bi scrum agile digital transformation |
| Fluent in | spanishportugueseenglish |
| Preferred annual pay (min) | $45,000/year |
| Last seen | 11 months ago |
| Signed up | 11 months ago |
| Badges |
๐จโ๐ป Remote worker |
2018 - 2025: Chemical Engineering Bachelors Degree @ Federal University of Uberlรขndia