About

Wafa CHENNI is a highly skilled Cloud Big Data engineer with over 4 years of experience in the field. She is an Azure Data Engineer Associate and a Databricks Certified Associate Developer for Apache Spark 3.0. Wafa has extensive technical experience in processing big data with Spark, machine/deep learning, and optimizing Spark-related code. She is also proficient in deploying data projects with Docker, Jenkins, and Nexus. Wafa is an enthusiastic learner, critical thinker, and active listener. She is a complex problem solver and troubleshooter, always open to gaining more experience and adventures. In addition to her technical skills, Wafa has collaborated with non-profit organizations as a volunteer to improve people’s lives and make the world a better place. Currently, Wafa is working as a Cloud Data Engineer at mao conseil. Prior to this, she worked as a Big Data Engineer at totalenergies and as a Data Science and Big Data Teacher at jedha bootcamp. Wafa holds a Master's degree in Image and audio for smart systems from Pierre and Marie Curie University, a Master 2 in Big Data and Machine Learning from Université Paris Cité, and a Bachelor's degree in Electrical Engineering and Industrial Computing, option Automatism and System from École Nationale Supérieure de Technologie. Wafa's tech stack includes Data Engineering, Big Data, Spark, Databricks, Azure, Deep Learning, Docker, Research Scientist, Jenkins, and Data Scientist. With her technical expertise and passion for learning, Wafa is an asset to any organization in the field of Cloud Big Data engineering.