Jeovanio Neres
Data Engineer | Analytics Engineer @ Unilever
About
• IT professional with 3 years of experience, responsible for project development in the areas of Data Engineering and Analysis within a FinTech digital transformation team, adding financial expertise to my technical background in IT. • Daily experience with programming languages such as Scala, PySpark, SQL, and Python, utilizing ETL/ELT techniques, along with proficiency in SQL and No-SQL databases, and delivering data platforms as a service. • Actively participated in the creation of a Data Layer for finance. • Involved in initiatives focused on the development of individuals within the company in technology tools. • Graduated in Accounting Sciences from Anhembi Morumbi University. • Scala, Python, Azure, GIT, Power BI, Power Automate, Excel and Agile methodologies.
Brazil
São Paulo
Information Technology & Services
Databricks, Azure Synapse , Azure Data Factory, LOGIC APP, Scala, PySpark, Azure Analysis Services , SQL, Data Modeling, Data Pipelines, Data Engineering, Data Visualization, Scrum, Microsoft Power BI, Python, Power automate, Microsoft SQL Server, Azure DevOps Server, Git, atendimento ao público
Experience

Data Engineer | Analytics Engineer
São Paulo, Brasil
As a Data Engineer with 3 year of experience, I work in end-to-end project management, encompassing data and requirements mapping to data visualization. My role extends to mentoring business teams on data lake access and product development. Key responsibilities include: • Data and Requirements Mapping: Identifying business opportunities and defining project objectives and tools needed. • Data Discovery: Proficient in navigating the data lake, employing reverse engineering to extract necessary data. • Data Engineering: Skilled in Scala, PySpark, and SQL for ETL/ELT pipeline creation and integrating diverse data sources. • Data Processing: Experienced in building and maintaining data pipelines using Azure Data Factory, establishing Data Warehouse architecture on Azure Synapse. • Data Modeling: Proficient in designing data models (cubes) on Azure Analysis Services, facilitating exploration with created measures and processed data. • Data Visualization: Expertise in generating dashboards and reports using Power BI, accessing Analysis Services data models. • Data Quality: Proven ability to enhance data reliability, efficiency, and quality through strategic identification and implementation. • Data Coach: Responsible for training and mentoring teams to reach new heights in their data skills, fostering ongoing digital transformation. My collaborative approach with business teams, combined with technical prowess, ensures successful project delivery. I serve as a Tech Mentor, aiding colleagues in utilizing data avenues for effective data product development. Expertise includes data manipulation, transformation, and integration, complemented by hands-on experience with Scala, PySpark, data warehousing, ETL/ELT, and Power BI.

Data Analyst
São Paulo, Brasil
• Data pipeline development through Data Factory; • Script development using Databricks/IntelliJ/VSCODE, with a focus on Scala/PySpark/Python; • SQL query development; Data cube development via AAS (Azure Analysis Services); • Contribution to company technology development projects, especially the "Data Hitchhiker's Guide" and U-Tech; • Creation of automations using Power Platform.

Data Analyst Intern
São Paulo, São Paulo, Brasil
• Monitoring projects related to technology and linked to the company's digital transformation process, assisting in data manipulation and processing, constructing dashboards, and engaging in exploratory analysis and routine development using programming languages.
Jeovanio Neres's Contact Information
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