Anna Avanesyan

照片和视频编辑应用程序和网站. The back end consists of both monolith and microservice architecture based on Express.使用依赖注入、MVC模式和REST API的js技术. For the database, 在Mongoose ORM和复制的帮助下，使用非关系型mongodb数据库. 此外，对于事件发布和键值存储，使用Redis pub/sub和Kafka.

付款和订阅, 实现了按月和按年订阅处理的外部服务. We have Apple, Android, and WeChat payments integrated on the mobile end of things along with an external job for renewals and order state change tracking. On the desktop web side, PayPal, Adyen, Stripe, and Docomo are integrated with the support of one-time payments and renewal using jobs.

Analytics are incorporated that fire events into Appsflyer, Braze, FB events, and other services.

SABX is a B2B platform with role access-based management and permission control developed on Node.js technologies.

I was a back-end developer working from the begging till the platform's successful launch and real user onboarding. 我在Koa上使用Passport用户身份验证开发REST api. For the database, 我们使用PostgreSQL，支持Sequelize ORM和Redis进行键值存储.

For file management, server, in-app, and push notifications, AWS services were used, 例如S3和SNS与Firebase相结合，用于移动端集成. 对于实时网站通知，Socket.IO was used. Also, we were using mail listeners and mail sending services for in-time notification such as SendGrid.

对于部署和多容器运行，我们使用Docker Compose.

On the payment side, for one-time payments, 我整合了PayPal和Stripe, 我在Medium上发表了一篇文章.

我是一个以农业数据访问和共享为目的的网络产品创建者. As a software engineer, I was in charge of developing and maintaining the website server. 该网站使用TypeScript, TypeORM technologies, 和Auth0，用于授权和认证流. As a back-end developer, I created a set of Restful APIs responsible for returning large amounts of soil data from PostgresSQL databases. 处理大数据集, 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, 我是Yara项目开发团队的关键成员, where I was responsible for developing and maintaining several TypeScript services that provided APIs for the production, distribution, 并销售氮基矿物肥料及相关工业产品. 我对MongoDB有很深的理解, 我用它来有效地管理和存储大型数据集. 我也有使用TypeORM和AWS S3进行数据管理和文件上传的经验.

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, MongoDB, 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. 这确保了项目的可靠性、可伸缩性和可维护性.