Hire the Top 2% of
Remote Google BigQuery Developers
in Brazil

hugo A.

Vetted Google BigQuery developer in Brazil (UTC-3)

**Deep Learning Architect (L5) | AWS Generative AI Innovation Center** _São Paulo, Brazil_ With 5+ years experience in AI/ML, I am currently a Deep Learning Architect at AWS Generative AI Innovation Center, blending my expertise in Generative AI science with advanced architectural design to deliver robust, scalable solutions. In my role, which merges the responsibilities of a Data Scientist and a Solutions Architect, I lead customer engagements from proof-of-concept to production-grade systems, ensuring they are secure, fault-tolerant, and optimized for enterprise performance. As a tech lead, I maintain a hands-on approach—contributing to model development, optimization, and deployment—while collaborating with diverse teams to design solutions that drive innovation and disrupt industries. I am seeking long-term opportunities where I can leverage my dual expertise to develop cutting-edge Generative AI solutions and help companies revolutionize their business verticals through transformative technology. ### **Technical Skills** **Artificial Intelligence & Machine Learning** * Expertise in Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision, Neural Networks, Transformers * Hands-on experience with frameworks: PyTorch, TensorFlow, Scikit-learn **Cloud Computing & DevOps** * 4 AWS Certified (Soultions Architect, Cloud Developer, Machine Learning Specialty, Data Analytics Specialty), Docker, Kubernetes, CircleCI, Elastic Beanstalk, Apache Airflow **Programming & Software Development** * Proficient in Python, R, and SQL * Experienced in building and consuming RESTful APIs and GraphQL **Data Engineering & Big Data** * Skilled in Apache Spark, NoSQL databases (MongoDB, DynamoDB, Elasticsearch) * Experienced in building data pipelines, ETL processes, and optimizing data workflows **Data Analytics & Visualization** * Proficient in Power BI * Proficient Plotly, Bokeh, Matplotlib and Seaborn * Advanced statistical modeling using using R and statsmodels **Soft Skills** * Strong problem-solving ability, Agile/Scrum methodology, proven team leadership, and commitment to continuous learning **Languages** * Portuguese (Native), English (Fluent), French (Fluent), Spanish (Advanced), German (Advanced)

Lawrence F.

Vetted Google BigQuery developer in Brazil (UTC-3)

I'm a Data architect, with past experiences in Business Intelligence and Data Engineering on leading companies, such as IBM, B2W, and Nestlé. I've being working for 5 years on Big Data projects, using multiple clouds (GCP, AWS, and Azure) and architectures (Data Warehouses/Lakes/Lakehouses, Modern Data Platforms, Data Mesh). Currently, I'm the leader of Debussy, an opinionated open-source data architecture and engineering framework that integrates Airflow, Spark, and dbt.

Carlos M.

Vetted Google BigQuery developer in Brazil (UTC-3)

I'm a Google Cloud Specialist, with almost 5 years of experience in Data Engineering, having both the Professional Data Engineer and the Professional Cloud Architect certifications, and I'm looking for my next one. I've designed and implemented full data applications, from data ingestion to ETL, using NodeJS and Python with Cloud Functions, Dataflow, Cloud Run, App Engine and BigQuery, in addition to making data pipelines with Apache Airflow, dbt and Apache Spark. I'm also a Google Analytics and Google Tag Manager expert, having planned and developed all the data analytics for some of the biggest Ecommerces in Brazil.

Matheus T.

Vetted Google BigQuery developer in Brazil (UTC-3)

Professional passionate about data engineering and always wanting to learn more about things. Citizenship: Brazilian/Italian I graduated in information systems at FIAP having 10 years in the technology area currently working as a data engineer. GitHub: [https://github.com/tramontini](https://github.com/tramontini) Medium: [https://medium.com/@tramontini](https://medium.com/@tramontini)

Gabriel M.

Vetted Google BigQuery developer in Brazil (UTC-3)

Problem solving and integration for technical and business knowledge, always guided by data. Large experience with SQL, BigQuery and Python. With a degree in electrical engineering, I worked as a data analyst in the brazilian energy market for 5 years in a large company in the sector, where I developed technical skills and experience with the between (software) engineering and business. 2+ years of experience in a climate tech early stage startup, working as a data analyst, analytics engineer and data engineer, expanding my technical skills in tools and problem solving, communication, documentation, translation and definition of technical requirements, in a dynamic environment.

Yuri L.

Vetted Google BigQuery developer in Brazil (UTC-3)

Professional with extensive experience in Big Data, Data Engineering, Data Science, Data Modeling, Database, SQL, BI and Project Management. Big Data Analysis MBA from FIA - USP, an internationally recognized institution in the Financial Times ranking. With over 23 years of experience in information technology and several programming languages. Holder of the title of worldwide recognition by PMI (Project Management Institute) for project management PMP (Project Management Professional). Holder of 2 Post-Graduations in Project Management from PUC - RJ.

Thais M.

Vetted Google BigQuery developer in Brazil (UTC-3)

I am a data analyst with experience with more 10 countries and more than 30 projects. Proficient in PowerBI, Python, SQL, and cloud computing. Skilled in data analysis and dashboard development.

Vitor H.

Vetted Google BigQuery developer in Brazil (UTC-3)

As a data engineer with a strong background in Python, Apache Spark, SQL, and Airflow, I have successfully designed and maintained efficient data pipelines that handle large volumes of data. My experience includes collaborating in multidisciplinary teams using Agile methodologies, deploying machine learning models, and utilizing Docker and Kubernetes for container management. I have a proven track record of improving data processing speed and accuracy by 15% over a 6-month period through optimization techniques. My work in the healthcare domain, combined with my degree in Information Systems from the Federal University of Mato Grosso do Sul, has equipped me with the skills needed to tackle complex data challenges.

Ian K.

Vetted Google BigQuery developer in Brazil (UTC-3)

Experienced Data Analyst with a proven track record of Martech, Product Analytics, Customer Analytics, and Data product development in startups and Large established through the delivery of high-quality data solutions. I've been instrumental in the success of a few LATAM and European companies, specializing in Python Environment, SQL, and Cloud native technologies (GCP, Azure, and AWS) 🚀 Key Expertise: Python and its main libraries for Data development (FastAPI, Pandas, seaborn, flask, streamlit, Matplotlib, Scikit-learn, Keras, etc.) Creation of Data Products using cloud environment in all of the major Clouds (Azure Data Factory, AWS Redshift & Glue, GCP Dataproc & Big Query) Working on Data Orchestration and transformations with tools like DBT, Great Expectations, and Apache Airflow CI/CD environments (Github, Gitlab, Confluence, and Jira) Proficient in programming, refactoring, and debugging skills 🌐 Other Skills: Proven experience working remotely in agile teams Independent problem solver with a proactive attitude and team player Passionate about designing data products with quality, scalability, and impact. Self-taught and curious, with a history of building and transforming startups and generating value in large companies 🎮 Additional Skills and Interests: Avid long-range cyclist, exploring the intersection of technology and cycling in the best possible way Enthusiastic gamer, with a penchant for immersive gaming experiences.

Guilherme P.

Vetted Google BigQuery developer in Brazil (UTC-3)

Data Engineer & AWS Certified Solution Architect. Holds a BSc degree in Electrical and Computer Engineering from UFMG. Interested in cloud computing, big data technologies and helping companies to get business value from their data.