I’m a data engineer who’s spent the last few years building and fixing real production data systems. I started my career working on large financial and healthcare datasets at firms like Tata Consultancy Services and later Accenture, where reliability really mattered and mistakes were expensive. That’s where I learned how to design pipelines that don’t just work once, but keep working under scale, change, and pressure. As I grew, I moved into more cloud and big data focused roles, building pipelines on AWS, Azure, and Databricks using Python, SQL, and Spark. I modernized legacy systems, cleaned up brittle ETL jobs, and helped teams trust their data again by adding proper monitoring, validation, and structure. I worked closely with product, analytics, and business teams, so translating messy requirements into usable data models became second nature. What really sets me apart is that I’m comfortable operating between data engineering, analytics, and applied AI. At UConn Innovate Labs, I supported GenAI and NLP research and helped turn complex model outputs into dashboards and datasets that non-technical stakeholders could understand. I tend to take ownership, stay calm when things break, and focus on leaving systems better than I found them.…I’m a data engineer who’s spent the last few years building and fixing real production data systems. I started my career working on large financial and healthcare datasets at firms like Tata Consultancy Services and later Accenture, where reliability really mattered and mistakes were expensive. That’s where I learned how to design pipelines that don’t just work once, but keep working under scale, change, and pressure. As I grew, I moved into more cloud and big data focused roles, building pipelines on AWS, Azure, and Databricks using Python, SQL, and Spark. I modernized legacy systems, cleaned up brittle ETL jobs, and helped teams trust their data again by adding proper monitoring, validation, and structure. I worked closely with product, analytics, and business teams, so translating messy requirements into usable data models became second nature. What really sets me apart is that I’m comfortable operating between data engineering, analytics, and applied AI. At UConn Innovate Labs, I supported GenAI and NLP research and helped turn complex model outputs into dashboards and datasets that non-technical stakeholders could understand. I tend to take ownership, stay calm when things break, and focus on leaving systems better than I found them.WWWW…