Carlos Valmaña Morales

Senior Data Engineer @ Schneider Electric

About

Proactive data professional with expertise in data analysis, data engineering, automation, and business intelligence. Strong communication and organizational skills with a proven ability to lead projects. Experienced in Python and SQL for data processing and Tableau for visualization. Skilled in optimizing processes and enhancing data accuracy to support data-driven decision-making. Eager to leverage my expertise and leadership capabilities to contribute to impactful data-driven projects and achieve organizational goals.

Country

Mexico

City

Monterrey

Industry

Computer Software

Skill

Data Analysis, Automation, Extract, Transform, Load (ETL), Tableau, Microsoft Power Automate, SharePoint Workflow, Azure Databricks, Time Management, Data Engineering, Python (Programming Language), English, Research, Problem Solving, Communication, Analytical Skills, Software Development, German

Experience

Senior Data Engineer

Schneider Electric

2026-5 - Present · 5 mos

Finance Data Engineer

Schneider Electric

2024-12 - 2026-5 · 1 yr 6 mos

San Pedro Garza García, NLE

*Develop and maintain ETL pipelines to support data integration and transformation for financial processes *Build data workflows using Databricks and SQL for large-scale datasets *Create and maintain Tableau dashboards to provide business insights and financial reporting *Automate manual financial processes using Power Automate and custom Power Apps solutions *Integrate and manage SharePoint Lists as part of workflow automation and data storage solutions *Manage Python scripts to support data manipulation, automation, and process optimization *Collaborate with cross-functional teams to deliver data-driven solutions for finance operations *Ensure data quality, integrity, and compliance across all data pipelines and dashboards *Support and enhance existing automation tools to increase efficiency and reduce manual workload

GSC Data Analyst

Schneider Electric

2023-6 - 2024-11 · 1 yr 6 mos

Monterrey, Nuevo León, Mexico

*Use Python to clean, analyze, and visualize data, enhancing data clarity and providing actionable insights. *Design, manage, and updateTableau dashboards for Data Quality Control (DQC) analysis, supporting informed decision-making. *Optimize and automate manual processes using Python (RPA), significantly improving operational efficiency. *Conduct comprehensive database analysis, resulting in enhanced data accuracy and integrity. *Collaborate with cross-functional teams to ensure data integrity and accuracy, resulting in better-informed decisions. *Automate routine data analysis tasks, freeing up time for more complex analysis. *Manage user access across SAP and global tools, ensuring security and compliant data access.

Data Intern

Schneider Electric

2022-8 - 2023-6 · 11 mos

Mexico

*Reduced time of the data validation process with python coding. *Optimized Excel processes with python coding. *Authored detailed reports outlining data validation results in Excel. *Created queries and extracted specific data from SAP (ERP) and Kinaxis (Supply Chain Planning Software). *Verified data and pinpointed inconsistencies or missing data. *Justified missing data migrated between ERP (SAP) and a Supply Chain Planning Software (Kinaxis). *Performed data analysis and identified data migration processes. *Worked on documentation of data.