This project involved revamping and optimizing an outdated system using Python, effectively doubling its speed. Implemented AMQP for enhanced scalability in PHP systems. Conducted benchmarking to enhance the performance of all backend processes using PHP and Python. Displayed strong logical thinking while handling big data, processing over 300 million documents. Contributed to frontend development tasks using Laravel 5, AMP, and SCSS. Developed a comprehensive data analytics dashboard through Azure Data Factory for data warehousing and ETL processes. Established and maintained scalable, reliable, and efficient data pipelines using Docker, ELK, and CI/CD with TeamCity. Operated within an agile environment, employing Scrum methodologies.
Refactored and optimized an old system.
Applied AMQP for scalable systems.
Benchmarked and improved performance.
Completed frontend tasks.
Developed a data analytics dashboard.
Built and maintained robust pipelines.
Worked in an agile environment.
Technologies: Python, Django, PHP, Laravel, AWS, Docker, TeamCity, MailChimp, ELK, Elasticsearch, Scarpy, Airflow