I design data & AI platforms that scale, govern, and run themselves.
Abhishek Mishra // Solutions Architect - AI Solutions & Intelligent Data Platforms
Eight years turning complex data ecosystems into governed, observable, production-grade platforms - for global CPG and pharmaceutical enterprises. I architect intelligent data platforms on Databricks and Spark, and put agentic AI to work in production: from self-healing pipelines to multi-agent systems that move at the speed of the business.
Years in data & platforms
Engineers led
Clouds · AWS Azure GCP
AI / agentic builds
// About
From hands-on engineering to platform architecture
I work across the full platform lifecycle - data engineering, AI/ML enablement, and the operational backbone (DataOps, MLOps, LLMOps, AIOps) that keeps enterprise platforms dependable in production. My focus is architecting intelligent data platforms on Databricks and Spark for global CPG and pharmaceutical clients, where data is high-volume, heavily regulated, and central to commercial decisions - and increasingly, putting agentic AI to work to drive self-healing, zero-touch operations.
What I do best is turn sprawling, hard-to-trust data estates into governed, observable, production-grade platforms that business teams actually rely on - pairing deep hands-on engineering with architectural judgment, and growing the engineers around me as the platforms scale.
// Expertise
AI-first, grounded in real platforms
AI & Agentic Engineering
Agentic AI built for production, not demos - multi-agent systems on LangChain and LangGraph, permission-aware RAG for regulated enterprise knowledge, and AI agents embedded directly into build, deploy, and operations.
Platform Engineering
Governed, observable lakehouse foundations that pass audit - Unity Catalog, Delta Live Tables, and Databricks Asset Bundles wired into zero-touch CI/CD across Azure and GCP.
Data Engineering
High-volume pipelines engineered for trust - Delta Lake and PySpark tuned over billions of rows, schema evolution and ACID guarantees, and medallion architectures that hold up in production.
Data Operations
Reliability as a discipline - DataOps, MLOps, LLMOps and AIOps: end-to-end observability, automated triage, and self-healing operations that keep regulated platforms running with minimal manual intervention.
// Featured work
Agentic AI, solving real business problems
Agentic AI · CPG
Agentic Order Management
A multi-agent system that takes CPG sales orders from intake to confirmation with minimal human touch - validating, enriching, and resolving exceptions automatically, so order desks clear backlogs faster and customers get quicker, more reliable fulfillment.
Enterprise RAG · Pharma
Permission-Aware Knowledge Assistant
A RAG assistant that lets teams ask questions across regulated pharma knowledge - SOPs, dossiers, study data - while enforcing exactly who is cleared to see what, turning scattered, access-controlled documents into instant, compliant answers.
Self-Serve Analytics · CPG
Natural-Language Sales Analytics
A Databricks Genie semantic layer that lets brand and category managers ask sales questions in plain English - no SQL, no analyst queue - with a governed model of measures and business logic so every answer is consistent and trusted.
// Contact
Let's build something governed, scalable & smart
Find me
Open to conversations on platform engineering, agentic AI, DataOps, and data & AI architecture.