At Tredence Inc, I work with a Global CPG company on supply chain data, leading the design and implementation of scalable cloud-native platforms. I reduced production pipeline failure rates by 97% and overall environmental costs by 30%.
I also created a Python-based Agentic Development tool that reduced engineering development effort by 40%. I proposed a serverless, event-driven orchestration framework to improve SLA performance and reduce cloud usage costs.
Previously at Infosys, I led an Azure Databricks Lakehouse transformation for a global oil and gas company, reducing costs by 30% with a centralized Common Data Model and Delta Lake environments. I designed data pipelines and real-time streaming solutions, and led a team of Data Engineers and Data Analysts.
