Vinicius – Golang, Scala, Python

The project consists of integrating with Ingenico and Elavon to be able to process Credit Card Transactions using card present, card not present, Apple Pay, and Google Pay.

• Designed backend architecture to ensure PCI Standards;
• Developed integration libraries with Apple Pay, Google Pay, and Elavon;
• Certified transactions with Elavon;
• Engineered settlement routines using ACH;
• Crafted a variety of services tailored to meet the specific needs of product teams.

The client is a restaurant tech company that aims to become the one-stop shop for restaurant technology, from supplies to reservations. The company had a monolith developed in JEE/Spring and wanted to migrate to microservices to allow further growth and have a more maintainable solution.

• Developed new back-end architecture;
• Established precise microservice granularity and guided the migration process;
• Defined standards for microservices, including coding, testing, and deployment;
• Worked closely with the DevOps team to create CI/CD pipelines;
• Re-wrote many legacy services as Golang microservices;
• Played a pivotal role in transitioning from AWS to GCP and subsequently to Azure.

The project aimed to predict a mobile user's ethnicity, crucial for delivering targeted ads in real-time bidding (RTB). Overcoming the challenge of a 150ms decision window, we leveraged Kafka, S3, ElasticSearch, and census data, achieving an 80% accuracy rate. This optimization boosted ad performance, with results stored in Redis for more precise subsequent bidding decisions

• Orchestrated the design of the backend architecture ;
• Implemented microservices and spark jobs to accomplish the results;
• Developed scalability tests using Tsung;
• Designed ElasticSearch queries and models using Census data.

Migrate a RTB (Real Time Bidding) JEE Monolith structure into microservices and build a data engineering platform.

• Created new architecture;
• Actively contributed to the creation of several microservices in Scala and Java SpringBoot;
• Developed data ingestion using Kafka and S3;
• Successfully led a team of six professionals;
• Wrote Spark jobs to perform data analytics and increase bidding accuracy.