Ramya M S

At GSK, I architect and deliver enterprise-scale data products for finance planning and optimization, generating annual cost savings of £1–2M per product. I lead Data Engineers and oversee data product delivery from architecture through deployment.

I’ve built scalable Azure solutions using Azure Data Factory, Azure Databricks, and Azure Data Lake, including reusable ingestion and delta-load frameworks adopted across projects. I also design DevOps strategies that streamline deployment pipelines and improve operational efficiency.

Previously at IBM supporting Shell, I modernized a traditional data warehouse platform, designed end-to-end pipelines, and enabled Power BI reporting for strategic decision-making. At Volvo IT, I developed Azure lakehouse pipelines and a Virtual Manufacturing application for truck pre-build visualization.

Across GSK, IBM, Volvo IT, and Infosys, I’ve delivered cloud data, analytics, and software solutions across pharmaceutical, energy, automotive, and enterprise operations.