Freelancer profile translated to English.
Back to original languageAbout Eduar
I am a Data Engineer with 4 years of solid experience designing, building, and optimizing efficient and scalable data architectures and pipelines (ETL/ELT). My main focus is on transforming raw data into robust analytical structures that drive strategic decision-making.
Throughout my career, I have specialized in the Microsoft Azure ecosystem (Data Factory, Databricks, Azure Synapse, Data Lake) and in orchestrating complex workflows using Apache Airflow. I have a strong command of script development with Python and relational and non-relational database modeling using advanced SQL.
As a Computer Science graduate, I combine a solid theoretical foundation with a practical and problem-solving approach to performance issues in large-volume data processing clusters (Big Data).
I am looking to collaborate with international companies requiring a trustworthy technical professional on a Contractor (B2B / Freelancer) and remote basis. I am fully available to bring immediate value to agile teams, ensuring clean, stable, and secure data flows.
Spanish
Native or bilingual
Portuguese
Fluent
Remote only
Primarily works remotely
Experience
- Paschoini AdvogadosData EngineerLEGALSeptember 2025 - April 2026 (7 months)São Paulo, BrazilMain activities and results: Extraction and processing of data from Thomson Reuters Legal One via REST APIs and JSON. Creation of ingestion, transformation, and data modeling processes for analytical databases, indicators, and Power BI dashboards. Analysis of data quality, inconsistencies, record limitations, and improvement opportunities in sources. Support in Azure architecture definition, considering Data Factory, Data Lake, Databricks, Synapse Analytics, and Key Vault. Development of automations with Power Automate, Power Apps, and SharePoint, optimizing internal workflows and operational processes. Involvement in document governance, permissions, metadata, and SharePoint environment structuring. Collaboration with legal, administrative, and technology areas to map demands and propose data-driven solutions.Technologies used: Python, Pandas, SQL, REST APIs, JSON, Power BI, Power Query, Power Automate, Power Apps, SharePoint, Azure, Databricks, Data Factory, Synapse Analytics, VS Code, Jupyter Notebook.
- Banco Bradesco S/AData EngineerBANKING AND INSURANCEFebruary 2023 - August 2025 (2 years and 6 months)São Paulo, BrazilInvolvement in Data Engineering projects in the Compliance sector, focusing on the development, maintenance, and optimization of scalable, secure, and reliable data pipelines.Main activities and results: Development, maintenance, and monitoring of ETL/ELT pipelines for analytical and business areas. Processing of large data volumes with Python, PySpark, SQL, Hive, Teradata, SAS, and Databricks. Creation of data transformation, validation, and enrichment routines, ensuring quality, consistency, and integrity. Optimization of code, queries, and processes to improve performance and reduce processing times. Integration of structured and unstructured sources for analysis, modeling, and decision-making. Application of best practices in security, governance, and sensitive data protection in the financial sector. Collaboration with Data Science, BI, Engineering, and business teams on scalable analytical solutions.Technologies used: SQL, Python, PySpark, Teradata, Hive, SAS, Databricks, Azure DevOps, Shell Script, Bitbucket, Jira, Confluence.
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Education
- Bachelor of Science in Computer ScienceUNICID Universidade Cidade de São Paulo2025Licenciatura en Ciencias de la Computación
- Technician in Systems Analysis and DevelopmentConfaOriente2019Técnico en Análisis y Desarrollo de Sistemas