Ravi Shankar Email & Phone Number

London, England, GB

• Designed and managed complex data migrations within an enterprise data warehouse, ensuring data integrity and contributed to the automation of data processes, significantly enhancing efficiency and data governance.
• Engineered an ETL pipeline using Azure Data Factory and Azure Databricks to facilitate health research data, enhancing data exploration and insight generation.

• Implemented an enterprise data platform, focusing on data migration, quality, and lifecycle management facilitating the analysis of drug usage trends across the UK.
• Developed SQL-based data integration solutions to support research activities, improving data reliability and enhancing healthcare planning and resource allocation.
• Spearheaded research on UK medication trends, yielding actionable insights for healthcare enhancement.

Lyon, Auvergne-Rhône-Alpes, France

• Led the development of a data ingestion and transformation pipeline on Azure, enhancing data quality and accessibility for cervical cancer research.
• Spearheaded a project for optimizing data storage and management, implementing best practices in data security and privacy.
• Developed a computer vision algorithm for early cervical cancer detection using smartphone images, leveraging Azure Data Lake for storage and processing, cutting screening costs.
• Contributed significantly to research publications, underscoring the impact and applications of developed data engineering solutions in cancer research and public health initiatives.

Paris, Île-de-France, France

• Created a NLP based recommendation system that analyzes text from tweets, Amazon reviews, and Instagram tags to deliver personalized content, improving user experience.
• Developed and enhanced a custom recommendation system framework, boosting efficiency and output quality. Conducted thorough testing to ensure the system's accuracy and consistent results.

Chennai, Tamil Nadu, India

• Spearheaded the enhancement of McClatchy digital platforms such as the Miami Herald, leveraging Python, AngularJS, and NodeJS to significantly improve website performance and user experience.
• Engineered and implemented automation of server tasks for McClatchy news outlets, utilising Python and NodeJS, resulting in heightened operational efficiency and substantial cost savings.