Besfort Ahmeti

Project Title: Development and Enhancement of Big Data ETL Pipelines and Features Project Role: Software Engineer Technologies Used: Python, PySpark, GCP, Postgres, MongoDB Overview: Designed and developed features for a high-profile project, leveraging Python and PySpark. Key Features and Responsibilities: • Engineered ETL pipelines for large datasets, optimizing data flow and integration. • Implemented Docker solutions for better deployment and consistency. • Led unit and integration testing strategies.

Population Level Analytics (PLAn) Dashboard for Roche Diagnostics Technologies Used: React.js, Material-UI, Redux, TypeScript Overview: Developed new features for the PLAn Dashboard, a platform designed to aggregate and analyze real-world data on respiratory viruses like COVID-19, RSV, and influenza. Key Features and Responsibilities: • Data Visualization: Implemented tools using React.js for presenting epidemiological data. • User Interface Design: Developed a responsive interface with Material-UI.

Project Title: Electronic Health Record (EHR) System with Integrated Patient Portal Technologies Used: React.js, Next.js, Material-UI Developed an EHR system to digitalize and manage patients' health records. Includes a patient portal for 24-hour access to health information and patient-provider communication. • System Architecture: Used Next.js for server-side rendering and React.js for UI. • EHR Functionality: Integrated patient history, diagnoses, and treatment plans.

Technologies Used: Python, Django, React.js, Material-UI, NLP Overview: Developed a web app to aggregate and process job listings from various portals. Key Features and Responsibilities: • Data Aggregation: Built a Python/Django system to collect job listings. • Data Processing: Cleaned and transformed data, storing it in Django models. • NLP Integration: Categorized job listings with an NLP algorithm. • UI Development: Created an interface with React.js and Material-UI for data access and visualization.

Technologies Used: Python, Django, React.js, Material-UI Overview: Led the development of a web app aggregating real estate listings with a CRM system. Streamlined data processing and customer management. Key Features and Responsibilities: • Data Aggregation: Built a Python/Django engine to fetch and aggregate listings. • Data Processing: Designed a pipeline to clean and standardize listings. • CRM Development: Developed a CRM with React.js and Material-UI for managing customer profiles and interactions.

Technologies Used: ReactJS, Material-UI, Python, Django, Celery Overview: Developed a comprehensive Leads Generation and Management System as the principal full-stack developer. Key Features and Responsibilities: • Frontend: Used ReactJS and Material-UI for a responsive interface. Utilized Docker for consistent deployments. • Backend: Built with Django Rest Framework, creating secure, efficient APIs. Integrated Celery with Flower monitoring and Celery Beat for asynchronous task management.