Building Smarter Analytics: From Prompt Engineering to Agentic Systems
Hosted by Bijil Subhash and Shaw Talebi
Business metrics from raw data
Use Agent Skills to create business metrics directly from raw data sources
dbt agent skills for best practices
See how dbt agent skills enforce analytics engineering best practices inside AI workflows
Question → working metric, no pipeline
Watch a live demo going from a business question to a working metric without manual pipeline setup
A migration that took 12 months can now take 3, with half the team. The shift is moving from one-off prompts to systems your team can reuse. Bijil Subhash shows how MCP servers, generic skills, and custom skills stack together so AI can debug broken pipelines, build dbt models, and ship new metrics in minutes instead of days.
Bijil Subhash
Fractional Data Engineer @ NimbleStax
Bijil Subhash is a fractional data engineer with 5+ years of experience helping enterprises and startups make better decisions with their data. He has partnered with teams across finance, HR, retail, energy, and marketing to build data platforms and lay the foundations that make analytics and AI work in practice. He believes no AI strategy succeeds without solid data foundations underneath it.
Shaw Talebi
Ex-Toyota Data Scientist with 8+ years in AI. Teaching over 100k learners.
Shaw Talebi is an AI educator and builder, teaching 100,000+ builders on YouTube. He earned his PhD from the University of Texas at Dallas, where he worked as an applied AI researcher. He later created the AI Builders Bootcamp, a top-rated Maven course (4.7★ from 75 reviews) that trained builders from companies including Google, Microsoft, Meta, and AWS while he continues shipping SaaS products.