Ramya M S

Customer-centric technology leader with over 15 years of experience in the IT industry, including 8+ years specializing in Azure Data Engineering. Proven track record of architecting and executing cloud-based solutions that unlock actionable insights, streamline operations, and accelerate innovation. Spearheaded complex, large-scale data transformation programs across the pharmaceutical, energy, and automotive sectors, delivering 3x value.

Adept at leading high-performing teams, developing reusable frameworks, and establishing DevOps strategies to drive strategic impact and business growth.

Principal Data Engineer at GSK (2023-06 – Present)

Global Functions Data and Analytics Projects: QPR/MPR automation, Global Tax Compliance, CSO Data Analytics, Brazil COGS, Inventory

• Architected and delivered enterprise-scale data products leveraged by finance teams for planning and optimization, generating annual cost savings of £1–2M per product.
• Developed and deployed robust data solutions using Azure Data Factory, Azure Databricks, and Azure Data Lake, ensuring high scalability and performance.
• Engineered ingestion and delta load frameworks adopted across multiple projects, driving consistency, reusability, and accelerated delivery.
• Designed and implemented DevOps strategies for data products, streamlining deployment pipelines and enhancing operational efficiency.
• Directed a team of Data Engineers, providing technical leadership and oversight across the full lifecycle of data product delivery.

Senior System Analyst (Senior Data Engineer) at IBM (2021-08 – 2023-06)

Client: Shell (RTDP Development Team)

• Redesigned the platform from a traditional data warehouse solution to a modern architecture, significantly enhancing scalability and flexibility.
• Led end-to-end data pipeline design and implementation, ingesting data from diverse on-premises applications using Azure Data Factory and centralizing it in Azure Data Lake.
• Performed complex data transformations with Azure Databricks and optimized storage in SQL databases for downstream consumption.
• Enabled business intelligence by integrating processed data into Power BI reports, supporting strategic decision-making.
• Facilitated the hiring and onboarding of Data Engineers by conducting interviews, resulting in successful placements and client approvals.

Senior Software Engineer at VOLVO IT (2016-09 – 2021-08)

GTOOL & Virtual Manufacturing Development Teams Projects: End-to-End Planning, China Legal Demand, ARCC, Virtual Manufacturing

• Engineered data ingestion pipelines from various applications to Azure Data Lake (Bronze layer), cleansed data into Delta tables (Silver layer), and applied business logic using Databricks (Gold layer).
• Stored processed data in Azure SQL Server and integrated with downstream applications using Azure PaaS services (Azure Functions, Service Bus, Storage Queues).
• Developed a Virtual Manufacturing application interacting with Delmia Process Engineer (PLM tool) and V5 to visualize trucks pre-build.
• Extracted and transformed data from upstream systems (AVP, PDMLink, KOLA) using C#, LINQ, and MQ, loading it into the process engineer.

Technology Analyst at Infosys (2014-07 – 2016-09)

Projects: Work from Home, Attendance, iClaims

• Developed web applications involving all stages of the SDLC: requirements analysis, coding, testing, UAT, and post-production support.
• Utilized ASP.NET, MVC, SQL, C#, and WCF to deliver robust software solutions.

Senior Software Engineer at Infosys (2013-01 – 2014-07)

Projects: Work from Home, Attendance, iClaims

• Contributed to web application development projects, participating in full SDLC activities to ensure high-quality software delivery.
• Leveraged ASP.NET, MVC, SQL, C#, and WCF technologies.

B.E. in Information Science – VVCE, Mysore (2010-01)