Geronimo Neto

Product Manager

Recife, Pernambuco, Brazil11 yrs 6 mos experience

Highly Stable

Key Highlights

Over 2 years of experience in Data Analysis and Engineering.
Expert in building scalable ETL and data pipelines.
Transitioning to Data Science with a focus on Machine Learning.

Stackforce AI infers this person is a Data Engineer with a focus on Cloud and Data Analytics.

Contact

Skills

Core Skills

Data EngineeringData VisualizationEtl DevelopmentCloud Data EngineeringData ExtractionData Analysis

Other Skills

AWSAWS AthenaAWS CloudFormationAWS GlueAWS IAMAWS LambdaAWS QuickSightAWS S3Accelerated GrowthAmazon AthenaAmazon QuickSightAmazon S3Amazon Web ServicesAnalyticalAnalytical Skills

About

Tenho 2+ anos de experiência em Análise e Engenharia de Dados, atuando na construção de ETL, pipelines de dados e soluções em nuvem, utilizando Python, SQL, Airflow, AWS, Dremio e Metabase. Atualmente estou em transição para Ciência de Dados, aprofundando meus estudos em Machine Learning, Deep Learning, Big Data e Databricks, além de práticas de Model Deployment e MLOps. 🔹 Experiência em tratamento, integração e modelagem de dados. 🔹 Desenvolvimento de ETL e pipelines escaláveis. 🔹 Conhecimentos em modelagem preditiva, Deep Learning e deployment de modelos (FastAPI, Streamlit). Meu objetivo é aplicar minha experiência em engenharia de dados aliada às novas habilidades em Ciência de Dados para gerar insights estratégicos e apoiar decisões de negócio baseadas em dados.

Experience

11 yrs 6 mos

Total Experience

9 yrs 3 mos

Average Tenure

2 yrs 3 mos

Current Experience

Clin digital

2 roles

Mid-Level Analytics Engineer

Promoted

Aug 2025 – Present · 10 mos · Recife, Pernambuco, Brazil · Hybrid

Using Git Flow for version control and updating data pipeline code, ensuring a well-structured and collaborative development process;
Direct involvement in defining, analyzing, and monitoring strategic metrics and KPIs, contributing to more informed and effective team decisions;
Building high-performance data pipelines using Pandas, PySpark, and the Dremio API, applying partitioning and query optimization techniques for efficient processing of large datasets;
Designing and developing interactive dashboards in Metabase, with an emphasis on clean, insightful, and visually appealing layouts to communicate results across different areas of the company.

GitData PipelinePandasPySparkDremioMetabase+2

Junior Analytics Engineer

Mar 2024 – Aug 2025 · 1 yr 5 mos · Recife, Pernambuco, Brazil · Hybrid

Designed and maintain robust data pipelines using a Medallion Architecture (Raw, Curated, and Analytics layers) via Dremio, with optimized storage in AWS S3.
Integrated diverse data sources such as SQL Server, PostgreSQL, MongoDB, and Excel spreadsheets into a centralized Data Lakehouse.
Built dashboards and strategic KPIs in Metabase, enabling data-driven decisions across business units.
Developed universal and scalable data models, ensuring adaptability across departments and use cases.
Implemented automated ETL processes in Python, transforming data into Parquet format to optimize performance in analytics.
Act as a bridge between business stakeholders and the Data Science team, aligning data initiatives with the company’s strategic goals.

DremioAWS S3SQL ServerPostgreSQLMongoDBPython+2

Compass uol

AWS Cloud Data Engineer

Jun 2023 – Nov 2023 · 5 mos · Recife, Pernambuco, Brazil · Remote

Developed automated data extraction workflows using Python in AWS Lambda, integrating with the IMDB API.
Used Docker to update Excel datasets and upload them to AWS S3.
Transformed and modeled data using AWS Glue within the Data Lake architecture on AWS S3.
Implemented AWS Lake Formation to manage secure database access and created a MySQL database layer.
Utilized AWS Athena for performant SQL querying and creation of views to optimize data retrieval.
Built visualizations and dashboards in AWS QuickSight for enhanced data insights.
The project was research-oriented to understand movie rating behaviors and identify patterns for predictive user choice analysis.

PythonAWS LambdaDockerAWS GlueAWS AthenaAWS QuickSight+2