Victor Etim

Education

University of Aberdeen - MSc Geophysics and Seismology
Robert Gordon university - MSc Data Science University of Calabar - BS Geology/Earth Science

Career Summary

I am a seasoned Data Engineer with expertise in AI and automation, combining a strong academic foundation in Geology, Geophysics, and Data Science with extensive professional experience in data engineering and analytics. My career spans designing and optimizing data pipelines, implementing AI-driven solutions, and leveraging machine learning and natural language processing (NLP) to enhance data privacy and operational efficiency. In roles such as Data Engineer at National Grid and Geospatial Data Engineer at Network Rail, I have developed proficiency in technologies like Snowflake DB, Python, SQL, Azure Databricks, and DevOps workflows. I have also applied advanced geospatial analysis using tools like ArcGIS and FME, showcasing my ability to manage complex data environments and deliver actionable insights. As Privacy Automation Engineer at PrivaLex Advisory, I channel this expertise into developing privacy automation tools and training AI models for privacy engineering. My skills in data security, predictive modeling, and infrastructure automation position me to drive innovative solutions that align with PrivaLex’s commitment to protecting privacy and ensuring compliance in the digital age.