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My work spans the full stack: data engineering, analytics, MLOps, and GenAI, always with an eye on production readiness, performance, and real business value. Before Databricks, I was an Analytics Specialist SA at AWS, where I led design and adoption of analytics services across enterprise customers. I also create reference architectures, POCs, and technical content to help teams move faster and apply best practices and I speak at conferences and community events on data and AI topics. Book a session if you want to talk about: Lakehouse Architecture — designing for scale, cost, and governance on Databricks Data Engineering — pipelines, Delta Lake, streaming, and platform modernization MLOps & GenAI — taking models from prototype to production, RAG, LLM ops Cloud Data Strategy — AWS or Azure-based architectures, migrations, trade-offs Speaking & Content — structuring talks, reference architectures, technical storytelling Career in Data/Cloud — breaking into SA roles, growing in solutions engineering, FAANG/scale-up paths Whether you're an engineer designing your next platform, a team lead evaluating Databricks, or someone building a career in data and AI, I'm happy to share what I've learned. No fluff, just practical conversation.2e:T722,

Dreaming of becoming a top-tier AWS Solutions Architect? Whether you're taking your first steps in the cloud or looking to elevate your existing skills, our "Roadmap to Becoming an AWS Solutions Architect" is your ultimate guide to success!

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How to Become a Data Engineer with Srikant Das

Srikant Das

How to Become a Data Engineer

About this session