Freelancer profile translated to English.

Description

Hello! :) I'm Léo, a Data Professional with a solid background in Software Development and Business Intelligence (BI). I have proven experience in multi-billion dollar companies in the Industrial and Retail sectors.

• Technical Specialties: Extensive hands-on experience with the technology stack: Python, SQL, Snowflake, PostgreSQL, MySQL, Power BI, QlikSense, Excel, Google Sheets, Power Automate, Office Scripts, and a solid 5-year track record working with VBA.

• Key Results: Optimization of critical processes with large data volumes. I have managed to reduce processing times in Financial, Accounting, and Tax flows (such as Budget Modeling, Forecast, Capex, Actual vs. Budgeted Variations, Management Income Statements/DRE, medical payments, and variable compensation) from several days to just a few hours using Python, SQL, and VBA. I also have experience in automating Brazilian tax processes (DIRF, ISS, ICMS, INSS, IRRF, PCC).

• Integrations and Automation: Development of system integrations through REST APIs with optimized pipelines, reducing data collection times from several minutes to just 5 seconds. Expert in RPA automation development and data modeling/manipulation.

• Soft Skills: Recognized for high adaptability, resilience, and clear, fluid day-to-day communication.

Languages

Portuguese
Native or bilingual
Spanish
Fluent
English
Basic

Workplace preferences

Remote only

Primarily works remotely

Grupo CAOA
Junior Data Analyst
AUTOMOBILE
January 2026 - Today (7 months)
São Paulo, State of São Paulo, Brazil
Strategic support to FP&A (Financial Planning and Analysis) areas through data intelligence, focusing on:
• Dashboard Development: Creation of executive views in Power BI to support decision-making by management and the CFO.
• Data Engineering & ETL: Structuring complex data flows and database manipulation (SAP, IBM Cognos, and Protheus), ensuring data integrity and accuracy.
• Automation and RPA: Development of solutions for optimizing routine processes and highly complex tasks.
• Stack used: Excel, Power BI, SAP, IBM Cognos, Protheus, Oracle DB, VBA, and Python.
SQL Microsoft Power BI Python Microsoft Excel Macro VBA Excel
Grupo Petz Cobasi
Data Planning and Performance
RETAIL (SMALL BUSINESS)
May 2025 - January 2026 (8 months)
São Paulo, State of São Paulo, Brazil
• Routine Automation: Implementation of scripts with Python (pandas, openpyxl, selenium, pyautogui), VBA, and Office Scripts, significantly reducing manual effort in critical organizational processes.
• Data Mart Maintenance: Management of the FP&A Data Mart through the implementation of multidimensional modeling in the Snowflake Data Warehouse.
• ETL Pipelines: Development of data integration, cleaning, and loading flows using Python, Excel, Power Query, and Power Automate.
• Business Intelligence: Construction and maintenance of dashboards in Power BI, applying data modeling, DAX, and integration of multiple information sources.
• Technical Documentation: Preparation of PDS and STD specifications and technical documentation.
• Stack used: Python, SQL, Power BI, Snowflake, DBeaver, Excel, BotCity, Fivetran, QlikSense, QlikView, Qlik Cloud, Power Automate, TOTVS Protheus.
Microsoft Power BI Microsoft Excel SQL
Portoreal Alimentos
Developer
RAW MATERIALS INDUSTRY
December 2024 - May 2025 (5 months)
São Paulo, State of São Paulo, Brazil
Code & Low-Code Development: Creation of custom applications and workflows with AppSheet and App Script; integration of GAS to VS-Code using Clasp to optimize delivery processes. API Integration and Development: Consumption and development of RESTful APIs on the backend using Node.js, integrating external systems and AppSheet. Use of tools like Postman and Thunder Client for CRUD operations (GET, POST, PUT, DELETE) within the VS Code environment.
• • Version Control and Best Practices: Code management with Node.js, Clasp (for GAS integration), Git, and GitHub to ensure versioning, documentation, and project reliability.
Microsoft Excel Python SQL AI Vercel