An engineering graduate with expertise in data analysis, demonstrating a strong proficiency in Python, SQL, and Power BI. Experienced in ETL coding and the utilization of Streamlit through various projects, the individual emphasizes business problem-solving. Driven by curiosity and a constant pursuit of challenges, the focus remains on professional and project development.

Paulo has six years of experience as a Machine Learning Engineer and two as a Backend Developer. His primary tech stack is Python, and he is proficient in machine learning algorithms, data analysis, and visualization.

Data Analyst with over 15 years of experience in data engineering, demonstrating comprehensive skills in ETL and ELT tools, and various programming languages. Expertise encompasses databases such as Oracle, MySQL, Microsoft SQL Server, PostgreSQL, Firebird, CosmosDB, MongoDB, and Amazon Redshift. Proficient in ETL tools, including DataStage, Pentaho Data Integration, and Databricks, and adept with analysis tools like BIEE and Power BI. Skilled in cloud environments such as Microsoft Azure, AWS, and Oracle Cloud, with programming capabilities in Java, C#, PHP, Python, and R. Management capabilities are supported by ISO 9001:2000 certification.

Career spans 24 years specializing in Acquiring, Payment Methods, Banking, and Card sectors, with in-depth experience in Data and Analytics, Operational Control, BackOffice, Financial Operations Control, and Risk Analysis, particularly Chargeback management. Proven ability to foster partnerships and relationships by facilitating the open exchange of ideas and opinions to drive business development. Prioritized the expansion of business knowledge by mastering, executing, and enhancing processes, reducing financial losses, conducting systemic simulations, implementing automations, and preparing and analyzing data to inform decision-making. Provided consistent support to partner areas to streamline operations and optimize financial performance.

Data Specialist with over twelve years of experience in major retail and service industries, offering a robust foundation in team leadership and commercial planning. Extensive experience as a Supervisor in Sales Front has imparted a broad business perspective and strong leadership abilities. Currently functioning as a Market Intelligence Specialist in a Market Insights cell, leveraging expertise in modeling, ETL, ELT, Big Data technologies, and various data analysis tools to provide valuable insights for executives and contribute to data monetization initiatives. Proficient in SQL (Oracle), HQL (Hive), Alteryx, Tableau, Excel, and Python.

An experienced data enthusiast with a strong aptitude for uncovering insights within numerical data, demonstrating proficiency in tools such as Tableau and SQL. Possesses a robust ability to transform raw data into compelling visual narratives that drive strategic decision-making. Adept at identifying patterns and revealing growth opportunities, leveraging expertise in creating dynamic dashboards and executing efficient SQL queries to extract valuable insights. Excels in clear communication, capable of translating complex data sets into accessible narratives that empower teams to make informed decisions. Dedicated to transforming data into actionable insights and advancing the field of analytics.

Jehzeel brings seven years of experience in data analysis. She is proficient in SQL, Python, Tableau, Looker, PowerBI, and many others.

A dedicated professional specializing in Data Analysis, with a diverse background spanning sectors such as healthcare and services. Currently serving as a Supply Analyst and Key User of SAP MM, responsible for managing the integration and application of the Materials Management module with hospital management systems, effectively optimizing processes and enhancing operational efficiency. Beginning a career in inventory management at ArcelorMittal, this individual developed strong material management and inventory control skills. Further experience at SEBRAE involved implementing performance indicators for training programs, while tenure at Chevrolet honed sales techniques and client relationship skills. At Kora Saúde, transitioned from Administrative Assistant to Supply Analyst, leveraging Business Intelligence (BI) tools to automate tasks and establish interactive dashboards for monitoring resource consumption across hospital networks. The implementation of a data warehouse and ETL processes transformed decision-making, enabling real-time insights that significantly improved processes. Committed to continuous skill enhancement, the focus remains on driving efficiency and innovation in supply management and data analysis.

Datapine is a business intelligence and data visualization tool that helps organizations analyze, visualize, and share their data. It provides an intuitive drag-and-drop interface for creating dashboards and reports, enabling users to gain insights and make data-driven decisions without requiring extensive technical skills.

A Datapine expert must have skills in data visualization, SQL for querying databases, and experience with data integration and ETL processes. They should also be proficient in using Datapine's dashboard creation tools and familiar with connecting various data sources.

How to hire a Datapine expert

Datapine was founded in 2012 to provide businesses with an intuitive solution for data analysis and visualization. Its goal was to simplify the process of turning complex data into actionable insights, enabling users to create dashboards and reports without needing advanced technical skills.

About Datapine

Strengths of Datapine include its user-friendly interface, robust data visualization capabilities, and ease of integration with various data sources. Weaknesses may involve limited advanced analytics features and potential scalability issues for very large datasets. Competitors include Tableau, Power BI, and QlikView.

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