I'm very commited person to whatever I'm doing it, as engineer I will always find the efficient solution to the problem I'm facing, self-taught person from my childhood, passionate by 2 topics, software development, including web, that's why I know Node JS, C++, algorithms, etc. and Machine Learning, specially Reinforcement Learning, this is the topic for my master's degree thesis.
- Designing tech solution for commercial requirements
- Convert the system from monolithic application to an event driven solution
- Design and code an ETL process to have integrated data sources into a single data warehouse
- ETL process is made up of the following aws services: AWS Cloudwatch, AWS Lambdas, AWS SQS, AWS SNS, AWS SES, and additional MongoDB as our database
- Usage of Terraform to automatize the deployment of the infrastructure
- Split user story into small tasks for developers
- Make the RoadMap for future features at meetings with stakeholders
- Designing tech solution for commercial requirements
- Define serverless solution using aws services such as AWS Lambdas, AWS SES, AWS SNS, AWS RDS, AWS S3.
- Implement serverless solution
- Verify if developerâs code satisfies the minimum requirements (coverage in UT, no duplicate lines, etc).
- Validate application performance with tools like K6 (virtual users to validate concurrency, response time, etc)
- Monitoring of the services in New Relic
- Propose contingency patterns such as circuit breaker or use feature flags
- Implement good practices for existing frontend project (NextJS project) to donât impact in response time.