Gianni Acquisto
About Gianni Acquisto
Gianni Acquisto is a Lead Data Engineer currently working at Quantexa in Brussels, Belgium. He has extensive experience in data engineering, having held various roles at Quantexa and previously at BAE Systems Applied Intelligence, and possesses a strong academic background in Mathematics and Engineering.
Current Role as Lead Data Engineer
Gianni Acquisto currently serves as Lead Data Engineer at Quantexa, a position he has held since 2023. He is based in Brussels, Brussels Region, Belgium. In this role, he is responsible for overseeing data engineering projects and leading a team to develop innovative data solutions. His expertise in big data technologies and cloud platforms contributes to the success of the projects he manages.
Experience at Quantexa
Gianni Acquisto has extensive experience at Quantexa, having worked there in various capacities since 2020. He began as an Associate Data Engineer for 10 months, followed by a role as Data Engineer for 11 months. He then advanced to Senior Data Engineer - Technical Lead, where he worked for 2 years until 2023. His tenure at Quantexa has allowed him to develop a deep understanding of data engineering practices and technologies.
Educational Background
Gianni Acquisto holds a BSc (Hons) in Mathematics from the University of Nottingham, where he studied from 2014 to 2017. He furthered his education at the University of Bristol, earning an MSc in Engineering Mathematics in 2018. This strong academic foundation in mathematics and engineering supports his work in data engineering and analytics.
Previous Experience at BAE Systems
Before joining Quantexa, Gianni Acquisto worked as a Software Engineer at BAE Systems Applied Intelligence from 2018 to 2019 in London, United Kingdom. This role provided him with valuable experience in software development and engineering, further enhancing his technical skills in the field.
Technical Skills and Expertise
Gianni Acquisto possesses a strong background in big data technologies, including Spark and Hadoop. He has significant experience with cloud platforms such as AWS and GCP. Additionally, he has worked on integrating Elasticsearch into data engineering solutions and has expertise in managing and deploying data solutions using Kubernetes and Docker.