Gabriel Couto
@gabrielcouto
I’m a Data Engineer transforming complex data into reliable platforms and business-ready datasets.
BrazilWhat I'm looking for
I’m a Data Engineer with 8+ years of experience building scalable data platforms, pipelines, and analytical data models using modern data stack technologies such as Snowflake, Databricks, and dbt. I design and implement end-to-end ELT pipelines, from AWS/S3 ingestion to transformations with PySpark, SQL, and dbt, modeling across Bronze, Silver, and Gold layers.
I’m known for data modeling, data quality, and building reliable, business-ready datasets that enable self-service analytics and data-driven decision-making. I implement dbt testing, macros, documentation, and source validation frameworks to improve trust, governance, and integrity across multiple sources.
I’ve worked in cross-functional environments, translating business requirements into scalable data solutions across companies such as Bank PAN, Creditas, iFood, Mercado Livre, and Nestlé, AB Inbev. My focus stays on robust, reusable, well-documented dimensional models using Kimball best practices, so stakeholders get consistent metrics and clear data definitions.
Experience
Work history, roles, and key accomplishments
Designed and implemented dimensional data models and transformations using SQL, Python, PySpark, dbt, Snowflake, and Databricks to support business reporting and self-service analytics. Built dbt testing, documentation, macros, and source validation frameworks to improve data quality and governance.
Led analytics data projects focused on scalable dimensional data modeling and transformation using dbt, Snowflake, SQL, and PySpark. Partnered with stakeholders to translate KPI/reporting needs into reusable models and improved trust via dbt tests, documentation, and source validation.
Senior Analytics Engineer
Creditas
Nov 2021 - Apr 2022 (5 months)
Delivered end-to-end data projects using Snowflake and cloud platforms, emphasizing data modeling and analytics pipeline development. Built ETL pipelines and structured data layers to ensure consistent, high-quality datasets for business teams.
Built and optimized large-scale data pipelines using SQL, Python, and PySpark, delivering structured datasets and models in Databricks and Snowflake. Implemented data validation and quality checks and collaborated with engineering teams to improve ETL workflows using Airflow.
Analytics Engineer
Mercado Livre
Nov 2019 - Nov 2020 (1 year)
Supported board and senior management with strategic analytics by structuring datasets, extracting insights, and performing competitor and market mapping. Ensured data quality across multiple sources and automated Tableau dashboards to deliver clear, actionable reporting.
Produced analytics and commercial reporting to support board-level and managerial decision-making, including daily/weekly sales performance and target-vs-achieved metrics. Built and maintained reporting workflows and dashboards using Power BI, and provided training to improve commercial team adoption of analytics tools.
Education
Degrees, certifications, and relevant coursework
Mackenzie University
Bachelor's Degree, Data Science and Big Data
Bachelor's degree focused on Data Science and Big Data, completed in 02-2024.
PUC University
Postgraduate Degree, Big Data
Postgraduate degree focused on Big Data, completed in 12-2021.
Methodist University
Bachelor's Degree, Business
Bachelor's degree focused on Business, completed in 12-2018.
Tech stack
Software and tools used professionally
Availability
Location
BrazilAuthorized to work in
Job categories
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