Victor Moldovan

Background

About Victor Moldovan

Highly skilled Data Engineer with a proven track record in designing, building, and maintaining robust ETL pipelines and data quality frameworks for critical business functions. I bring extensive experience across diverse cloud data processing platforms, including AWS (S3, EventBridge, SNS, Glue, Athena), Azure Databricks, and Google Cloud Platform (GCP) with BigQuery and Cloud Composer, ensuring high data accuracy and system reliability. My expertise extends to SQL (MySQL, Oracle SQL) and NoSQL (MongoDB) database management, multi-server data integration using technologies such as GraphQL, JSON-LD, and RDF4J, and developing automated workflows with Python, Pandas, and NumPy. Currently, as a Data Engineer at Procter & Gamble, I am focused on leveraging GCP, Python, SQL, BigQuery, and Cloud Composer for marketing data processing and management. Previously at Darwin Technologies Romania, I engineered and maintained robust data quality pipelines for 58 critical tables, impacting over users and significantly improving data pipeline stability and reliability through comprehensive alerting and monitoring systems on AWS. My work has consistently led to enhanced efficiency, reduced manual effort, and the delivery of actionable insights across various domains.