Farouk Imami

Led the development of a server for uploading and downloading CSV files, including model and data validation. Modified CI/CD pipelines for data, and refactored the main pipeline to update ETL and handle data anonymization.

Designed the refactoring of the internal application for algorithm execution, following microservices and Lambda architecture paradigms. Conducted technical specifications, UML, and POCs for Strimzi Kafka on Kubernetes and Keda with Python consumers/producers.

Developed Big Data pipelines and algorithms, providing managerial and technical oversight to the development team. Standardized processes and implemented unit tests for Spark (Scala), Python, and R.

Implemented ETL pipelines and programmed Python services using proprietary ETL (Amadea). Retrieved data from Kafka, Cassandra, and ElasticSearch, then transformed and prepared it according to business needs.

Developed functional specifications for an internal application designed for algorithm orchestration. Conceived a software component enabling users to execute algorithms (Python, Java, R) via an API REST call, and designed a formula parser.

Managed functional specifications, development tracking, and feature testing. Conducted testing of functionalities and reported findings to clients.

Integrated Bluetooth payment functionality into existing toll booths. Developed in C and C++ on the current software system.

Managed the maintenance and operational support of the existing toll software, which lacked documentation. Corrected bugs and enhanced existing functionalities.

Assisted the architect in taking over the toll software and conducted a POC for its refactoring through reverse engineering. Contributed to the production of the overall software architecture and developed a POC in C++ and Qt/QML for a software redesign.

Developed a Windows tablet application to support energy sensor installation technicians. Implemented a genetic algorithm to optimize the most efficient route for sensor installation.

Implemented a program for receiving energy measurement data. Read sensor data files, performed decryption, and stored them in a Postgres database.

Developed functionalities within the application middleware as part of a 5-developer, 5-tester team, working in 1-week sprints. Contributed to the enhancement of core application features.

Completed a comprehensive Data Engineer training program, focusing on advanced data processing and management techniques. This certification signifies a high level of expertise in data engineering principles and practices.

Participated in a specialized training program on Big Data architecture and infrastructure. Gained in-depth knowledge of designing and implementing scalable Big Data solutions.

Obtained a certified Product Owner certification, enhancing skills in agile product management and development. Focused on defining product vision, managing backlogs, and stakeholder communication.

Completed an engineering degree in Electronics and Computer Science through an apprenticeship program. Gained practical experience and theoretical knowledge in both hardware and software domains.

Earned a University Diploma of Technology in Electrical Engineering and Industrial Computing. Developed foundational skills in electrical systems, automation, and industrial IT.

Obtained a Scientific Baccalaureate with a specialization in Engineering Sciences. This degree provided a strong foundation in scientific principles and engineering concepts.