Summary
Vitalij Zadneprovskij is a Big Data developer based in Rome with 11 years of experience building backend systems, web services and data-processing pipelines. He combines deep Java expertise with hands-on work in Spark, Hadoop, Databricks and cloud platforms (AWS and Azure) to tackle large-scale data challenges, including geospatial processing with GDAL/OGR and ML workflows on SageMaker. He has delivered data-mesh solutions for the energy sector and consulted on Azure Data Factory, Databricks and Terraform, showing strength in both implementation and cloud infra-as-code. A pragmatic performance-minded engineer, he routinely estimates and optimizes execution times for queries and batch jobs to improve throughput. He also has a background as a teacher and trainer in Java, Spring and big-data technologies, which helps him communicate complex designs to teams and clients. Fluent in turning business logic into efficient, production-ready pipelines, he favors measurable performance gains over theoretical complexity.
11 years of coding experience
10 years of employment as a software developer
Laurea Triennale Scienze informatiche, Laurea Triennale Scienze informatiche at Sapienza Università di Roma
Italian, English, French, Russian