Use of cloud and big data technologies more specifically: • Development of a micro-service containing a rule-based engine for the detection of bank fraud. • Migration of a large part of the customer’s Data Platform from Azure to AWS. • Development multiple ETL parallel batch and streaming Spark jobs on Databricks. • ETL pipeline development and orchestration using Azure Data Factory. • Experience with data warehouse technologies such as Synapse, Redshift. • Development of microservice architectures using Docker and Kubernetes. • Design and development of a full stack micro-service-oriented web applicationwhich analyses vehicle data and provides users with useful insights.