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.

A seasoned Data Engineer/Architect with 15 years of IT experience, including a decade in Business Intelligence (BI), Data Analytics, and Data Engineering. Educational background includes a degree in Information Systems from Anhembi Morumbi University and a postgraduate degree in Big Data (Data Science) from FIAP. Currently positioned as a Senior Data Engineer/Specialist, responsible for leading technical project aspects focused on Data & Analytics, Data Migration, Data Governance, and BI. Committed to delivering efficient, scalable, and reusable solutions adhering to industry best practices, facilitating companies in achieving goals and deriving insights through reliable data analysis, key performance indicators, and business-aligned metrics.

Proficiency encompasses over ten years in Data Analytics and ETL processes, comprehensive expertise in relational databases, and eight years with BI tools. Possesses over four years of experience in data engineering and cloud data platforms, with advanced capabilities in Spark and Python, and significant experience in non-relational databases, CI/CD tools, and IaaS platforms. Well-versed in AWS and Azure services for Big Data and Data Analytics.

Technological expertise covers a broad range of tools and platforms, including Alteryx, SSIS, SQL Server, Oracle, Hadoop, Spark (Python), Apache NiFi, Kafka, Airflow, and Microsoft Azure services like Data Lake Storage, Functions, and Synapse Analytics. Competent in AWS services including Athena, DynamoDB, EC2, EMR, Glue, IAM, Kinesis, Lambda, RDS, Redshift, SDLF, SQS, S3, and VPC. Proficient with BI tools such as QlikView, PowerBI, and Tableau, and IaaS solutions like Terraform. Experienced with CI/CD systems including GitHub and Azure DevOps. Dedicated to aiding organizations in improved data governance and fostering a culture that drives innovation through informed decision-making processes, ensuring secure storage and transportation of information.

A Bachelor in Law currently pursuing undergraduate studies in Cloud Computing and an MBA in Business, with five years of professional experience in Power BI, SQL, Azure, and AWS. Expertise encompasses data collection and analysis, with a strong focus on business management and project management.

A BI Consultant with over a decade of experience in the data field, holding a robust proficiency in SQL Server, Oracle, PostgreSQL, Python, Power BI, Tableau, Qlik Sense, SAS, Teradata, and SSIS. Presently, skills are being expanded through the study of JavaScript. Proficient in English.

A Mechanical Engineer with a degree from UFPR, this professional has transitioned from industrial production roles to a specialized focus on consultative technical sales. Leveraging strong communication and persuasive skills, experience was gained in various sales positions, including a Sales Excellence Analyst role, where proficiency in data analysis supported strategic decision-making. This individual possesses expertise in creating and maintaining analytical dashboards using Power BI and Excel, along with data extraction and storage in SQL databases. An analytical mindset drives a commitment to enhancing sales performance and generating qualitative insights that contribute to business success.

A data analysis professional with a degree in Data Science and ongoing postgraduate studies in Artificial Intelligence, possessing extensive knowledge in programming languages such as Python, SQL, and R. Experienced in developing innovative solutions utilizing relational and NoSQL database systems like PostgreSQL, MySQL, and MongoDB. Proficient in data visualization tools such as PowerBI and Tableau, with a strong focus on Machine Learning, Natural Language Processing, and AI applications to enhance process optimization and data-driven decision-making. Demonstrates analytical and creative skills in integrating and automating processes, alongside experience in building machine learning models and ensuring data integrity through collaboration with compliance teams.

With 14 years of expertise in Business Intelligence and Analytics and an additional 19 years in Information Technology, I specialize in the development and deployment of Data Warehouses, ETL processes, data analysis, and the creation of comprehensive reports and dashboards. My professional career is marked by a commitment to transforming complex data into actionable insights, thereby supporting strategic decision-making and enhancing organizational performance. Significant contributions have been made to various projects through the application of technical skills and extensive knowledge of BI tools.

Continual professional development is a priority, staying abreast of advancements in BI and Analytics technologies and methodologies. This dedication ensures the delivery of innovative, efficient solutions tailored to the evolving needs of the business environment.

Technical proficiencies include:

In Business Intelligence, expertise spans tools like MicroStrategy, Tableau, OBIEE, Oracle Retail Merchandise Analytics (ORMA), Oracle Retail Data Warehouse (ORDW), and Microsoft Analysis Services (Cubes). In Extract, Transform, and Load (ETL), skills encompass Oracle Data Integrator (ODI) and SQL Server Integration Services (SSIS). Proficiency in databases includes working knowledge of Snowflake, Oracle, MySQL, Microsoft SQL Server, and PostgreSQL.

Bachelor of Information Technology from UFRN with a passion for continuous learning and a focus on data analysis. Experience includes data analysis, Power BI, Python, and SQL. Recognized for organizational skills, attention to detail, and commitment to high-quality work.

SAP BusinessObjects is a suite of front-end applications that allow business users to view, sort, and analyze business intelligence data. It provides tools for reporting, data visualization, and dashboard creation to help organizations make informed decisions based on their data.

A SAP BusinessObjects expert must have skills in data modeling, SQL, and database management. Proficiency in using SAP BusinessObjects tools such as Web Intelligence, Crystal Reports, and Dashboards is essential. Knowledge of ETL processes and experience with SAP BW or HANA integration are also important.

How to hire a Sap Businessobjects expert

SAP BusinessObjects was originally developed by the French company Business Objects S.A., which was founded in 1990. The software suite was created to provide business intelligence solutions for data reporting, analysis, and visualization. SAP acquired Business Objects in 2007 to enhance its own BI capabilities and integrate them with its enterprise resource planning (ERP) systems.

About Sap Businessobjects

Strengths of SAP BusinessObjects include robust data integration, comprehensive reporting tools, and strong scalability. Weaknesses involve high complexity and cost, along with a steep learning curve. Competitors include 

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