- API development in Azure with Python- Apache Airflow development- PowerApps UI development- Used Faker package to create synthetic data- Azure Data Factory- Create and mantain Azure pipelines

- Run, maintain and extend the Apache Airflow application on Kubernetes.- Build and run the Apache Airflow scheduling and orchestration tool and its supporting components like, GitSync, the Windmill API and the notification app.- Create Python based applications that automate business processes. Examples include: REST API(Python, FastApi) for creating new user accounts. Azure Function that sends e-mails through Microsoft Graph API, event driven Azure Function for code synchronisation between git repository and a target application.- Implement using a CI/CD Azure DevOps, including static code analysis, static security tests and automated unit and integration tests.

Crawl of thousands of websites on HR and Job industry to feed the Jobfeed product which is a big database of fresh vacancy postings in more than 15 countries all over the world. - Working on more than 20 micro-services written mostly in python. - Designing and Implementing Rest APIs using FastAPI, Flask. - Playing an effective role in designing Micro-services and Monolithic apps. - Maintaining a highl available environment implemented with Kubernetes and Docker. - Working with TeamCity and CI/CD solutions. - Facing performance challenges due to the huge amount of data ready to be parsed. - Tackling with huge amount of data in terms of queuing, storing, transferring, parsing and maintaining. - Experiencing to work with an optimal cache environment like internal and external cache solutions. - Scheduling tasks with celery, cron jobs and custom designed task scheduler. - Working with proxies, IP rotation solutions, headless crawling, etc. - Implementing and maintaining monitoring solutions like Promotheus and Graphana. - Working with logging solutions such as Elasticsearch. - Working on Linux (Ubuntu) for development and Production environments. - Writing robust code with solid tests. - Investigating about new technologies for a better performance and more secure farm of microservices like Rustlang.Skills: Python · Kubernetes · TeamCity · Rustlang · Docker · Kafka · Ubuntu · MySQL · RabbitMQ · Linux

Planning architecture and implementing platform from scratch.Lead in charge of backend development.Taking decisions about technology stack.Proposing enhancements and new features.Technologies used: Python, PostgreSQL, Django Rest Framework, Docker, Google Cloud Platform.

Development and enhancement to the E-Commerce framework based on shuup and Odoo solution.Participating in the planning and development of projects to manage the procurement to oil rigs and integrating them to the E-commerce platform.Participating in the design and development of Asset Manager platform intended to allow the rig managers to manage, approve and dismiss purchases from the e-commerce.Technologies used: Python, Django, Shuup, Docker, Akeneo, AWS, Odoo Enterprise, React.js

Ensuring communication between AWS Kinesis and AWS Redshift through Apache Airflow Dags. Integrating Golang libraries with Python. Designing DAGs testing. Proposing enhancements and technology stack.Development with Django. Enhancements and new modules to the platform.Platform maintainance based on JS stack.Technologies used: Apache Airflow, AWS Redshift, AWS Lambda, AWS EC2, Python, Golang, Linux, Django, ReactJS, MongoDB, ExpressJS.

Infrastructure developed. In charge of developing with AWS instances and Python-based technologies. Developed bots for scraping bank websites to process new payments. Microservices developed to managed new payments processing. Developed command line tools to track remote logs or events. Developed plug-in Python modules.Technologies used: Python, AWS Lambda, MongoDB, Redis, Pandas, DataFrame, Dynamo.

Testing and quality assurance on new ecommerce plugins releases and developments.Researching, development and maintenaince of python based microservices.

• Developed internal management systems and tools, such as cloud storage implementation, internal web pages and user's activity monitoring.• Worked with end customers to understand needs and provide appropriate solutions.• Participated in continuous improvement by generating suggestions, engaging in problem-solving activities to support teamwork.• Maintained and repaired IT equipment to achieve operational readiness, safety and cleanliness.• Asterisk server setup and monitoring.• Network monitoring.Used technologies:Python, CherryPy, Linux, Asterisk, OwnCloud