Leonardo Leão

Tax Transformation Analyst - Tax Technology @ De Biasi Auditoria, Consultoria e Outsourcing

About

I'm a Data and Tax Innovation Analyst, working with data since 2022. I have experience developing and maintaining workflows in Alteryx for processing and integrating tax data, such as extracting data from SPED and XML invoices. I automate processes in Python, create strategic dashboards in Power BI to support decision-making, and develop solutions in Power Automate/Power Apps to integrate systems such as SharePoint, Forms, and Outlook, increasing operational efficiency. I previously worked as a Data Engineer, processing, modeling, and integrating large volumes of data to deliver scalable, high-performance solutions. I'm passionate about using data, automation, and technology to generate efficiency and measurable results. I enjoy dynamic environments and transforming complex challenges into innovative solutions.

Country

Brazil

City

São Paulo

Industry

Information Technology & Services

Skill

Alteryx, Microsoft Power BI, Microsoft PowerApps, Microsoft Power Automate, SAP ERP, Python, SQL, PySpark, Google Cloud Platform (GCP), Apache Airflow, Hadoop, Kotlin

Experience

Tax Transformation Analyst - Tax Technology

De Biasi Auditoria, Consultoria e Outsourcing

2025-8 - Present · 1 yr 2 mos

São Paulo, Brasil

Outsourced professional providing services to the Tax Team at BASF. - Developing and maintenance of Alteryx workflows for data processing, consolidation, and integration of tax-related information. - Developing Python scripts to automate tasks and optimize processes. - Design And maintenance of Power BI dashboards and reports to track key metrics and support decision-making. - Developing automated workflows in Power Automate/PowerApps for system integration and operational efficiency. (Sharepoint, Forms, Outlook...)

Tax Innovation Intern

BASF

2023-8 - 2025-8 · 2 yrs 1 mo

São Paulo, Brasil

Data Engineer

CERC

2022-10 - 2023-3 · 6 mos

São Paulo

I was part of a Datalake, and I was responsible for creating and maintaining several day-to-day routines with Data Engineering and backend Software Development. - Development of pipelines with Airflow. - Development of Python scripts for Automations. - Manipulation of sensitive data using Python, PySpark, PostgresSQL, MySQL, SQL Server, BigQuery, Spanner and etc... - Development of API with Flask. - Deploy pipelines with Kubernetes and Azure DevOps

Technology Intern

CERC

2021-2 - 2022-10 · 1 yr 9 mos

São Paulo, Brasil

The internship had the rotation model between the areas every 3 months. So, I went through the following teams: - Software Development (Java, Kotlin and Python) Development of an application that would test all of our team's applications and verify that it was working correctly. - DevOps (Google Cloud Platform, Kubernetes, Azure DevOps, Terraform, Ansible) Development of a CI/CD Pipeline using Kubernetes and Azure DevOps. - Information Security (Phising, SonarQube) Inclusion of a code verification step using SonarQube in all commits that were made in the company's code repository. - Data Engineering (Python, SQL, PySpark, Pandas, BigQuery, Airflow) - Duration of 10 months in this area. Development of pipelines using AirFlow.