Thomas Minnella

FuelQuest is a B2B platform with role access-based management and permission control developed on .Net C# technologies.

I was a back-end developer working from the begging till the platform 's successful launch and real user onboarding. I was developing REST APIs on Koa with Passport user authentication. For the database, we used PostgreSQL with the support of Sequelize ORM and Redis for key-value storing.

For file management, server, in-app, and push notifications, AWS services were used, such as S3 and SNS combined with Firebase for mobile side integration. For real-time website notifications, Socket.IO was used. Also, we were using mail listeners and mail sending services for in-time notification such as SendGrid.

For deployment and multi-container running we were using Docker Compose.

On the payment side, for one-time payments, I integrated PayPal and Stripe, on which I have a published article on Medium.

I was a web product creator for agricultural data access and sharing purposes. As a software engineer, I was in charge of developing and maintaining the website server. The website uses TypeScript, TypeORM technologies, and Auth0 for authorization and authentication flows. As a back-end developer, I created a set of Restful APIs responsible for returning large amounts of soil data from PostgresSQL databases. To handle the big data sets, I used a data pipeline to stream and validate the data via Kafka streams before storing it in Redshift for further processing.

As a back-end engineer, I was a key member of the development team, where I was responsible for developing and maintaining several TypeScript services that provided APIs for the production, distribution, and sale of nitrogen-based mineral fertilizers and related industrial products. I have a strong understanding of DynamoDB, which I used to manage and store large data sets effectively. I also have experience with TypeORM and AWS S3 for data management and file uploading.

I developed a generally used uploader for validation and uploading files to AWS S3 using temporary security credentials based on assuming the role functionality of AWS SNS. I also used Apache Kafka for ingesting files or data to one or more targets from multiple data sources such as Kafka, DynamoDB, or plain body. I also contributed to the process of creating and running Airflow DAGs for managing database tasks and covered project APIs with unit and integration tests using Jest. This ensured the reliability, scalability, and maintainability of the project.