Had a very insightful session with Srikanth. He took the time to understand my background, career goals, and the questions I had about transitioning into new technologies. He provided practical and clear guidance that helped me better understand the direction I should take and what I need to focus on going forward. I really appreciated his experience, clarity, and straightforward approach. The session was very helpful, and I would definitely recommend Srikanth to anyone looking for genuine career and technical guidance.
Rajeev Patibandla
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From our very first interview, he was able to sharply pinpoint my professional gaps and immediately turn them into actionable next steps with incredibly detailed notes. We went well over our scheduled time, but he stayed on without hesitation to ensure I completely understood the strategy moving forward and also shared notes
Anonymous
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Highly recommended. He helped me understand architect roadmap
Anonymous
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Srikant provided insightful sessions in my call. He is knowledgeable. You won't regret talking to him. Thank you so much Srikant :)
Anonymous
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Absolutely wonderful session. I have never received such deep insights about being an SA prior to this. This interaction helped me understand what it takes to be a good SA, and I received a good agenda to focus on "what next". Clear path forward was directed by Srikant and he is a wonderful mentor. I am definitely going to book follow-ups! Definitely recommended. Wish I could give more starts because Srikant definitely raised the bar. Thank you, Srikant!
I'm Srikant, Solutions Architect at Databricks, working with organizations across EMEA North to design and deliver scalable data and AI platforms on the Lakehouse.
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.