Robiuddin

WORK HISTORY

EDUCATION

ABOUT ROBIUDDIN

As a data engineer with a strong background in Airflow and data pipeline development, I have a passion for building and optimizing data systems that drive business value. With experience in writing pytest, I am able to ensure the reliability and robustness of my solutions. I have a Bachelor\'s degree in Computer Science, and have honed my skills through hands-on experience working on data projects in a variety of industries. I am a proactive problem-solver and enjoy working in fast-paced, dynamic environments. Some of my key achievements include- Developing and maintaining a data pipeline using Airflow that improved data accuracy and reduced manual labor in processing and updating the data stream - Writing and implementing pytest for a data processing system, resulting in a 95% test coverage and a significant reduction in defects - Collaborating with cross-functional teams to identify and prioritize business needs, and design data solutions to meet those needs In my current role, I am responsible for designing and implementing data pipelines using Airflow and other technologies. I also work closely with data scientists and analysts to support their data needs and ensure that our data systems are reliable and efficient. I am always looking for new challenges and opportunities to grow as a data engineer. Feel free to connect with me on LinkedIn to learn more about my experience. Journal Paper: Panclassif ( https://doi.org/10.1016/j.ygeno.20•••••01 )