Anna Avanesyan

A photo and video editing app and website. The back end consists of both monolith and microservice architecture based on Express.js technologies using dependency injection, MVC pattern, and REST API. For the database, a non-relational Mongo database is used with the help of Mongoose ORM and replication. Also, for event publishing and key-value storage, Redis pub/sub and Kafka are used.

For payments and subscriptions, external services with monthly and yearly subscription handling were implemented. We have Apple, Android, 微信支付集成在移动端，以及一个用于续订和订单状态变化跟踪的外部工作. On the desktop web side, PayPal, Adyen, Stripe, 和Docomo都整合在一起，支持一次性付款和使用工作进行续签.

分析被整合到Appsflyer、blaze、FB事件和其他服务中.

SABX是一个B2B平台，具有基于角色访问的管理和在Node上开发的权限控制.js technologies.

我是一名后台开发人员，从开始工作到平台的成功发布和真正的用户登录. 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, 我们使用邮件监听器和邮件发送服务来提供即时通知，比如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. 作为一名软件工程师，我负责网站服务器的开发和维护. The website uses TypeScript, TypeORM technologies, and Auth0 for authorization and authentication flows. As a back-end developer, 我创建了一组Restful api，负责从PostgresSQL数据库返回大量土壤数据. To handle the big data sets, 在将数据存储在Redshift中进行进一步处理之前，我使用数据管道通过Kafka流对数据进行流化和验证.

As a back-end engineer, I was a key member of the development team for the Yara project, 在那里，我负责开发和维护几个TypeScript服务，为生产提供api, distribution, and sale of nitrogen-based mineral fertilizers and related industrial products. I have a strong understanding of MongoDB, which I used to manage and store large data sets effectively. 我也有使用TypeORM和AWS S3进行数据管理和文件上传的经验.

在假设AWS SNS的角色功能的基础上，我开发了一个常用的上传器，用于使用临时安全凭证验证和上传文件到AWS S3. 我还使用Apache Kafka从多个数据源(如Kafka)摄取文件或数据到一个或多个目标, MongoDB, or plain body. 我还参与了创建和运行用于管理数据库任务的气流dag的过程，并使用Jest进行了单元和集成测试，涵盖了项目api. This ensured the reliability, scalability, and maintainability of the project.