I’m Srishti Bhargava, a software engineer at AWS, where I build data platforms that help make large-scale analytics and machine learning more reliable, scalable, and usable. I currently work in SageMaker Lakehouse, helping teams turn messy, fragmented data into something powerful and AI-ready.
I’m passionate about making modern data architectures feel less intimidating and more practical. I often write about real-world data engineering challenges – like keeping tables fast, fresh, and production-grade- and love sharing lessons learned along the way.
Outside of work, I recharge by hiking in nature, lately enjoying a lot of summer activities, or getting creative in the kitchen. I genuinely believe some of the best ideas (and meals!) come when you slow down and enjoy the process.