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Vetted Jupyter developer in Brazil (UTC-3)
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Vetted Jupyter developer in Brazil (UTC-3)
I am a Data Engineer with over eight years of experience with data engineering and have worked since 2006 with databases. I started working with AWS in 2012 and always kept this provider as a focus, but I had also worked with GCP and Azure before. I built data pipelines with several architectures and tools for different purposes and companies' industries.
Vetted Jupyter developer in Brazil (UTC-3)
Master and Bachelor in Computer Science | Machine Learning Engineer. An enthusiast for entrepreneurship and the business world, with experience in a range of projects in the technology industry and in the area of startups. I have experience with web projects and in the last few years, I am focused on Data Analysis / Science / Engineer. During these projects, I worked with teams, managing tasks and developing features using agile methodologies like Kanban and Scrum. My master's research was focused on the Artificial Intelligence (AI) area, using and comparing machine learning techniques in the identification of writers' manuscripts. With my work, I made four international publications. During graduation, I participated in extension and research projects. I was one of the founding members of HackerSpace Maringá (a community laboratory) and also reactivated the academic center of the course, in which I was president for two years. “Success is the sum of small efforts, repeated day-in, and day-out.” - Robert Collier
Vetted Jupyter developer in Brazil (UTC-3)
As a Senior Data Engineer, I am responsible for designing and delivering an enterprise data solution, working closely with engineering, product, and data science teams to understand how to best deliver a data ecosystem that delivers on the immediate needs of the business and looks to the future as we scale. Working to get the most out of data generated in the operation and use of the system – including order data, investor data, and usage data – as well as setting up secure and efficient protocols for migrating partner data and incorporating third-party data sets. * Knowledge and proven experience in object-oriented design, performance/scalability tuning, algorithms, and computational complexity. * Knowledge and proven experience in traditional RDBMS, Data Warehouse, and Big Data tools and technology. * Ability to read, interpret, design, and model data schemas (dimensional or no-dimensional). * Ability to create and maintain online and printed documents. * Ability to work cross-functionally to resolve technical, procedural, and operational issues appropriately. * Strong customer service skills and excellent verbal and written communication skills.
Vetted Jupyter developer in Brazil (UTC-3)
I am a **Data Scientist and Python Developer** with a **Ph.D. in Physics Applied to Medicine and Biology** from the University of São Paulo (USP). Specializing in advanced machine learning and data science, I explore complex systems and nonlinear phenomena. At **TripleTen**, I work as a **Data Science Instructor**, assisting students in understanding machine learning concepts and guiding their projects. Previously, at **Carta Healthcare**, I developed **AI-driven healthcare solutions**, enhancing EHR data extraction and clinical registry accuracy using NLP and data visualization. I have strong programming skills in Python and extensive experience with machine learning libraries like **Pandas**, **NumPy**, **SciPy**, **scikit-learn**, **TensorFlow**, and **PyTorch**. With multiple publications in top international journals, I have significantly contributed to chaos theory and complex networks. Committed to leveraging my expertise, I aim to address challenges in science and technology through innovative data analysis and AI techniques.
Vetted Jupyter developer in Brazil (UTC-3)
Please, visit my Linkedin for more details: [https://www.linkedin.com/in/marcel-pallete-81166b2b/](https://www.linkedin.com/in/marcel-pallete-81166b2b/) Experienced tech consultant, currently working as Data Tech Lead at Ernst & Young Brazil, focused in: \- SQL, Python, PySpark and Scala Languages \- Data Engineering \- Data Architecture \- ETL pipelines (By code or by ETL Tools like Pentaho, Alteryx, SSIS) \- Big Data (Spark, HDFS, Hive, NiFi, Kafka) \- Tuning and performance \- Azure Cloud (Data Factory, Databricks, Synapse Analytics, SQL DB, Data Lake Gen 2, Stream Analytics) \- Terraform and IaC for Azure Cloud \- Databases (SQL Server, PostgreSQL, Teradata, IBM DB2, MySQL) \- Data Modeling (Erwin, DW, DLH, OLAP/OLTP) \- Business Intelligence and DataViz (Power BI Expert level (M, DAX, DAX Studio, Tabular Editor), Tableau, Looker/Data Studio, Looker and LookML, Qliksense and Qlikview) \- Microsoft Fabric complete solution \- Microsoft Solutions (Power Platform, Power Automate, Sharepoint, Power Apps, Dataverse, Sharepoint)
Vetted Jupyter developer in Brazil (UTC-3)
With 7 years in software development and 3 years as a tech lead and CTO, I have build and integrated web applications using Django, FastAPI, Golang and Angular. I have optimized code for performance and reliability, reducing bugs and feature development time. I worked mainly with AWS, using NoSQL databases and microservices for data consumption and processing.
Vetted Jupyter developer in Brazil (UTC-3)
Technically minded professional with progressive experience designing and maintaining architecture and infrastructure for efficient and accurate data processing. Expert in developing and updating AI routines, managing large amounts of data, and executing data science to extract value from data. Solid understanding of the database systems, data modeling, and data warehousing concepts. Strong passion for evolving effective and efficient solutions to complex problems. Talent for quickly learning new information, procedures, and technologies. Thrive in challenging, fast-paced, and high-pressure environments by utilizing superior problem solving, leadership, and organizational abilities. Exemplary communication and interpersonal skills; ability to build relations with customers, data scientists, analysts, stakeholders, and senior management.
Vetted Jupyter developer in Brazil (UTC-3)
Senior Full stack developer. PhD in Computer Science, master’s in informatics. Adjunct Professor at IFPB. Has 15 years’ professional experience in Computer Science, focusing on Software Development, DevOps and Data Engineering. I experienced significant professional growth during my tenure at Translucent Computing. Initially joining as a senior software developer, I played a pivotal role in various projects, handling responsibilities across both frontend and backend tasks, as well as overseeing devops. As I progressed, I assumed the role of tech lead, leading a team of over 10 developers to deliver high-quality, production-ready code. One significant project that showcased my contributions was the successful leadership in developing a financial (loan) system at Translucent Computing. This project, structured around microservices, comprised more than 10 microservices and integration with over 13 third-party services. Managing data consistency in this distributed environment posed a considerable challenge. My colleagues often highlight my strengths as a team member. They would describe me as a natural leader, appreciating my ability to foster positive relationships and maintain a respectful and collaborative work environment. Furthermore, they recognize my strong interpersonal skills, which contribute to effective communication and teamwork. Additionally, I am known for addressing challenges swiftly and efficiently. Overall, my co-workers would likely emphasize my leadership qualities, interpersonal skills, and quick problem-solving abilities as key strengths.
Jupyter developer in Brazil (UTC-3)
I am a software engineer with nine years of experience. Most of my experience is in backend apps using Python-related technologies. I worked in small and big-sized companies designing, developing, and maintaining scalable apps.
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Hire top 2% remote developers in Brazil to assist your engineering team and deliver your projects today.
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