Maxim Moroz
About Maxim Moroz
Maxim Moroz is a Software Solutions Architect with extensive experience in data architecture and implementation. He has worked with various programming languages and NoSQL technologies, and currently holds positions at Quadient and Globant.
Work at Quadient
Maxim Moroz currently serves as a Software Solutions Architect at Quadient, a position he has held since 2021. In this role, he focuses on architecting and implementing data solutions that align with business requirements. Prior to this position, he worked as a SaaS Lead Data Architect at Quadient from 2019 to 2020, where he contributed to various data architecture initiatives.
Education and Expertise
Maxim Moroz earned his Master of Science degree in Information Technologies from The Odessa State University in Ukraine, where he studied from 1993 to 1998. He is an alumnus of the M101P: MongoDB for Developers and M102: MongoDB for DBAs courses. Additionally, he holds a Google Cloud Platform – Data Engineer certification, obtained on January 31, 2019.
Background
Maxim Moroz has a diverse professional background in software development and data architecture. He worked at PointSource, LLC from 2005 to 2008 as an IBM Lotus Domino Developer/Administrator. He then transitioned to a Data Architect/Data Modeler role at PointSource, LLC from 2008 to 2018, gaining extensive experience in data solutions. He has also held a Senior Data Architect position at Globant since 2018.
Technical Skills
Maxim Moroz is proficient in multiple programming languages, including SQL, Python, JavaScript, Java, and Scala. He has expertise in various NoSQL technologies such as CouchDB, MongoDB, IBM Cloudant, AWS DynamoDB, and IBM Lotus Domino. His experience extends to cloud platforms like Google Cloud Platform and AWS, as well as Big Data technologies, including Hadoop, Hive, Apache Spark, Apache Flink, and Presto.
Achievements in Data Science
Maxim Moroz possesses a strong foundation in data science, particularly in machine learning, focusing on classification and regression algorithms. He is skilled in using Graph DBs and Knowledge Graphs, with knowledge of RDF/RDF*, SPARQL, OWL, and Ontology. He completed the Hadoop Fundamentals course at BigData University in June 2013, further enhancing his expertise in data technologies.