Bruno – AWS, Apache Spark, Python

It is an innovative startup specializing in pricing solutions tailored for brick-and-mortar retail. Their mission is to empower clients with comprehensive insights and data-driven strategies to swiftly navigate the competitive landscape of modern retail.

• Led and managed a team of data engineers in designing, developing, and maintaining big data solutions and pipelines;
• Defined data requirements and developed scalable solutions to meet business needs;
• Ensured data quality and governance across the organization;
• Provided technical guidance and mentorship to enhance team skills;
• Delivered valuable insights and analytics by collaborating with stakeholders;
• Drove innovation and improved data management practices through emerging technologies and trends.

The platform to develop comprehensive employee wellness programs and manage fitness centers.

• Designed, developed, and maintained scalable and reliable data pipelines and ETL workflows;
• Collaborated with cross-functional teams to understand data requirements and design appropriate data models;
• Implemented data quality and governance measures to ensure accuracy and integrity;
• Monitored and optimized data pipelines for performance and efficiency.
• Troubleshot and resolved issues related to data processing and pipeline failures;
• Collaborated with data scientists and analysts for effective data analysis and reporting;
• Applied industry trends and best practices to improve data infrastructure and processes.

It is a startup company that specializes in pricing solutions for physical retail. They provide insights and data regarding their clients' major competitors and how to stay competitive in a fast-paced world.

• Designed, developed, and maintained data pipelines and ETL workflows;
• Ensured data integrity, quality, and consistency throughout the data lifecycle;
• Automated data processes and implemented best practices;
• Supported data analysis and reporting efforts with clean and structured datasets;
• Participated in code reviews and provided technical expertise and guidance.

It is a startup company that provides personal loans to the C & D Brazillian economic classes.

• Built and maintained scalable data pipelines for ingestion and processing;
• Collaborated with stakeholders to define data requirements and implement appropriate solutions;
• Developed and optimized SQL queries and scripts for efficient data processing;
• Built and maintained data visualization dashboards and reports using Tableau;
• Identified and implemented process improvements and automation opportunities.