Thibaut Kaczynski
About Thibaut Kaczynski
Thibaut Kaczynski is an R&D Developer at Talend, specializing in Big Data technologies and applications for the banking sector. He has a strong educational background in mathematics and computer science, with degrees from multiple institutions and experience in developing integration tests and maintaining client relationships.
Work at Talend
Thibaut Kaczynski has been employed at Talend as an R&D Developer since 2019. His role involves developing and evolving applications tailored for the banking sector. He is responsible for writing detailed technical specifications based on functional documents and provides technical assistance while maintaining client relationships. Kaczynski also develops and implements integration tests using FitNesse for automation purposes. His work includes the delivery and installation of solutions utilizing Jenkins.
Education and Expertise
Thibaut Kaczynski has a robust educational background in computer science and data management. He studied at Le Mans Université, where he earned a License in Mathematics from 2011 to 2015. He furthered his studies at ESAIP, École Supérieure Angevine en Informatique et Productique, achieving a Diplôme d'ingénieur in Big Data from 2015 to 2018. Additionally, he completed a program in Big Data at Universidad de Valladolid in 2017. Kaczynski is currently studying at the University College of Northern Denmark since 2016.
Previous Experience at Sopra Steria
Before joining Talend, Thibaut Kaczynski worked at Sopra Steria as a Big Data Developer from 2018 to 2019. His tenure lasted for 11 months in Nantes, where he focused on developing solutions in the Big Data domain. This experience contributed to his expertise in handling large datasets and utilizing various technologies relevant to data processing.
Technical Skills and Technologies
Thibaut Kaczynski is proficient in a variety of technologies essential for Big Data development. His skill set includes Scala, Spark, Hive, Hadoop, Oozie, Unix Shell Scripting, and SQL/HQL. These technologies enable him to effectively manage and analyze data, as well as develop applications that meet client specifications.