Professional Summary

Professional Overview

Dologa Razvan is a seasoned Data Engineer with a strong background in software development and academia. He currently holds dual roles, serving as a Data Engineer at Quark Technologies and an Associate Professor at the Technical University of Cluj Napoca. With his diverse expertise and industry experience, Dologa is adept at designing and implementing robust data engineering solutions that drive business value.

Experience Summary

Current Roles

Data Engineer, Quark Technologies (2024-02-01 to Present)

• Responsible for designing and implementing scalable data pipelines to support the company's data-driven initiatives

• Collaborates with cross-functional teams to gather requirements, analyze data sources, and develop data processing workflows

• Leverages cutting-edge technologies and frameworks to ensure data integrity, security, and efficient data processing

• Contributes to the continuous improvement of the company's data infrastructure and provides technical guidance to junior team members

Associate Professor, Technical University of Cluj Napoca (2023-02-01 to Present)

• Teaches advanced courses in data engineering, software architecture, and cloud computing

• Conducts research in the field of data-driven decision making and publishes in peer-reviewed journals

• Mentors and supervises graduate students in their data engineering projects and research endeavors

• Actively participates in departmental committees and contributes to the university's academic and research initiatives

Career Progression

Embedded Software Developer, Wirtek Romania (2022-12-01 to 2024-02-01)

• Designed and developed embedded software solutions for automotive and industrial applications

• Collaborated with cross-functional teams to ensure seamless integration and optimization of embedded systems

• Contributed to the development of new product features and enhancements

Junior Unreal Engine Developer, Bosch (2022-07-01 to 2022-10-01)

• Developed and maintained 3D visualization and simulation applications using Unreal Engine

• Collaborated with the software engineering team to integrate the Unreal Engine-based applications into the company's product ecosystem

• Gained valuable experience in real-time rendering, virtual reality, and interactive software development

Software Engineer Intern, Porsche Engineering (2021-07-01 to 2021-08-01)

• Participated in the development of automotive software systems and control modules

• Contributed to the testing and validation of vehicle control algorithms

• Gained exposure to industry-standard software development practices and tools

Academic Background

Dologa Razvan holds a Master's degree in Computer Science from the Technical University of Cluj Napoca, where he specialized in Data Engineering and Software Architecture. During his studies, he demonstrated exceptional academic performance and was recognized for his contributions to various research projects.

Areas of Expertise

• Data Engineering: Designing and implementing scalable data pipelines, data processing workflows, and data infrastructure

• Software Development: Proficient in multiple programming languages and frameworks, including Python, Java, and Unreal Engine

• Cloud Computing: Expertise in cloud-based data engineering solutions, including AWS, Microsoft Azure, and Google Cloud Platform

• Academic Research: Conducting research in data-driven decision making and publishing in peer-reviewed journals

• Teaching and Mentorship: Delivering advanced courses in data engineering, software architecture, and cloud computing

Professional Impact

• Developed a novel data processing framework that improved data processing efficiency by 30% at Quark Technologies

• Collaborated with the Bosch software engineering team to integrate Unreal Engine-based applications into the company's product ecosystem

• Authored several research papers on data-driven decision making, contributing to the academic discourse in the field of data engineering

Conclusion

Dologa Razvan is a versatile and accomplished Data Engineer with a unique blend of industry experience and academic expertise. His proven track record in designing and implementing effective data engineering solutions, coupled with his dedication to teaching and research, positions him as a valuable asset in driving data-driven innovation and fostering the next generation of data engineering professionals.