Eduardo Najibe Email & Phone Number

São Paulo, Brazil

Curitiba, Paraná, Brasil

Context:EBANX is a leading fintech company from Brazil that provides payment solutions for global companies to reach and operate in Latin America.Technologies:- ETL/ELT- SQL- Airflow- DBT- BigQuery- Databricks- Datafusion- Datastream- GCPActivities:- Created and managed DBT models for bronze, silver, and gold layers, optimizing data transformation workflows.- Developed and orchestrated data pipelines using Airflow to extract data from APIs and SFTP servers, ensuring data quality and reliability.- Built and orchestrated data pipelines with Google Data Fusion to extract and integrate external data for analytics purposes.- Collaborated with analytics teams to create and optimize models, enhancing data accessibility and insights.

Curitiba, Paraná, Brasil

Achievements:- Led the design and execution of a project for the Quality department, restructuring the ELT of the laboratory analysis database (LIMS). Replaced 26 individual data pipelines with a single master pipeline, resulting in improved execution time and reduced query costs to the external database.- Led the migration, restructuring, and optimization of all SQL Server procedures from the Engineering and Risk departments to Databricks data transformation notebooks. Supported the migration of other departments, including Controllership, Agriculture, and Quality. Strengthening data governance, and significantly reducing query and table maintenance time.Context:BRF is one of the largest food companies in the world, specializing in poultry, pork, and processed foods. I was responsible for migrating, optimizing, and restructuring data pipelines and processes across various business areas. I worked on building scalable, resilient data transformation pipelines, improving data accessibility, and performance. My role also involved technical leadership in resolving critical issues, developing interactive dashboards, and implementing data solutions while ensuring efficient data processing through CI/CD pipelines.Technologies:- ETL/ELT- SQL - Azure Data Factory- Pyspark- Python- Databricks- Microsoft SQL Server- Power BI- Azure DevOps- Azure FunctionsActivities:- Developed scalable data transformation pipelines to enhance data accessibility and performance for multiple departments.- Provided technical leadership by resolving critical data pipeline issues, ensuring seamless operations across departments.- Designed and implemented interactive dashboards to improve decision-making processes and provide actionable insights to stakeholders.- Implemented CI/CD pipelines for efficient and automated deployment of data processes.- Collaborated with cross-functional teams to ensure data consistency and integrity across various business areas.

Curitiba, Paraná, Brasil

Achievements:- Created new metrics to monitor the company's overall approval and rejection rates, segmented by bank, gateway, anti-fraud, and acquirers. This allowed us to anticipate potential low approval scenarios and collaborate with the sales/product team to create solutions.- Led and executed the creation of the company's Ostensiva project, which helped identify patterns of fraudulent behavior in specific sellers, uncover the reasons behind these behaviors, and direct solutions to correct those specific fraud scenarios.In addition to identifying and addressing the reasons why certain sellers were being targeted by fraud, one of the project outcomes was generating resources to contest nearly $100,000 in chargebacks caused by these fraudulent activities.Context:MadeiraMadeira is the largest online retailer in Brazil, specializing in home goods and furniture. I worked on developing solutions for fraud prevention, chargeback dispute analysis, and monitoring key performance indicators (KPIs) to ensure operational efficiency. My role involved creating scalable, resilient, and secure systems to enhance fraud detection and prevention, while optimizing processes for chargeback disputes. Technologies:- SQL- Redshift- Power BI- Looker- Data Analysis- Fraud Prevention- Data ManipulationActivities:- Developed and optimized systems for fraud detection and prevention, reducing financial losses from chargeback disputes.- Analyzed transaction approval and rejection rates, providing insights to enhance approval processes and prevent fraud.- Led the creation of the Ostensiva project to identify fraudulent behaviors in sellers and resolve chargeback issues.- Built dashboards in Power BI and Looker to monitor KPIs and fraud trends.- Performed data analysis and manipulation using SQL and Redshift to support fraud prevention strategies.

Curitiba, Paraná, Brasil

Achievements:- Developed two Python notebooks to automate table clustering in BigQuery: one for clustering existing tables based on frequently used query columns, and another for clustering new tables using statistical metrics like skewness, optimizing query performance and storage efficiency.- Built and maintained efficient data pipelines using Google Dataform, enabling business teams to access key tables quickly for decision-making and analysis. These pipelines streamlined data delivery, enhancing team productivity and ensuring timely insights.- Built and managed data pipelines using Airbyte, automating data extraction and integration from multiple sources to ensure seamless flow into analytical systems.Context:Proxys Group is a network of companies specializing in e-commerce solutions and operations. Technologies:- SQL- Python- BigQuery- GCP- Airbyte- Dataplex- Dataform- Datastream- ETL/ELTActivities:- Develop and automate data clustering processes in BigQuery.- Build and maintain efficient data pipelines for quick access to business-critical tables.- Automate data extraction and integration across multiple sources with Airbyte, ensuring a smooth flow into analytical systems.- Collaborate with cross-functional teams to ensure timely delivery and high-quality data for analysis.- Monitor pipeline performance and optimize for efficiency and accuracy.

Bsc, Information Systems

Hiatus - Fev/2020 | Dez/2021.

Bsc, Electrical Engineering

Dropout.