Alessandro Z.

Alessandro Z. has extensive work experience in software development and engineering roles. Alessandro is currently working as a Lead Data Engineer at Nozomi Networks since July 2021. Prior to that, they worked at Ingenico from November 2019 to June 2021, where they held the position of Senior Software Development Engineer. Alessandro also worked at ARHS Spikeseed from March 2019 to June 2021, again as a Senior Software Development Engineer. Alessandro'searlier experience includes working at 7Pixel S.r.l. from January 2012 to February 2019 in various roles, starting as a Junior Software Development Engineer and progressing to a Software Development Engineer and eventually a Research and Development Engineer. During their time at 7Pixel S.r.l., they were involved in developing high-performance data processing services for the trovaprezzi.it website, designing algorithms for clustering consumer demand data and real-time product attribute extraction, as well as developing a recommender system. Alessandro also played a key role in improving the reliability and scalability of the backend infrastructure and migrating the legacy search engine infrastructure.

Alessandro Z. earned a Doctor of Philosophy - PhD degree in Mathematics and Computer Science from Università degli Studi dell'Insubria, starting in 2013 and completing in 2016. Prior to the Ph.D., Alessandro obtained a Master's degree in Computer Science from the same university, starting in 2009 and finishing in 2012. Before their Master's, Alessandro earned a Bachelor's degree in Computer Science from Università degli Studi dell'Insubria, starting in 2006 and completing it in 2009.

In addition to their formal education, Alessandro Z. has obtained several certifications from Udemy. Some of these certifications include topics such as Kafka Cluster Setup & Administration, Kafka Connect, Kafka Monitoring & Operations, Confluent Schema Registry & REST Proxy, KSQL on ksqlDB for Stream Processing, Kafka Streams for Data Processing, gRPC, Apache Airflow, Spark and Python for Big Data with PySpark, Tensorflow 2.0: Deep Learning and Artificial Intelligence, and Unsupervised Deep Learning. The certifications were obtained between June 2021 and December 2021.