Kamran Hussain

About Kamran Hussain

A results‑driven technology & sales leader with 15+ years of experience across enterprise sales, solutions architecture, and data platform strategy. I’ve spent the last 4.5 years at Dremio leading the pre‑sales technical organization as a Solutions Architect, partnering closely with product and engineering while driving technical evaluations, POCs, and customer adoption across complex data ecosystems.Over the past year, I’ve been deeply focused on AI integration and LLM‑powered workflows — working hands‑on with Claude, Copilot, Perplexity, and Dremio AI to design, implement, and demo AI capabilities directly within the product. This includes writing Python and PySpark code, evaluating multi‑vendor LLMs, shaping AI roadmap decisions, and guiding customers through real-world AI adoption patterns.Before Dremio, I served as an Enterprise Account Executive at Oracle, Attunity, and Qlik, exceeding quota and earning President’s Club recognition in 2020. I’ve sold data integration, analytics, and cloud platforms into mid‑market and enterprise accounts, managing full‑cycle sales from prospecting to negotiation and close.I bring a rare hybrid skill set — technical depth, AI fluency, and proven enterprise sales execution — enabling me to influence engineering teams, advise executives, and drive adoption of emerging technologies across diverse industries.

Experience

1. Presales Solutions Architect

   Dremio

   Aug 2021 — Present · Chicago, IL, US

   Lead the east region’s pre‑sales technical team as a Senior Solutions Architect, partnering with account executives to drive new opportunities and guide customers through technical evaluations- Architect and implement Apache Iceberg–based lakehouse solutions, enabling scalable table management, high‑performance queries, and enterprise-grade governance- Present Dremio’s value across enterprise architectures, emphasizing performance, cost efficiency, query acceleration, and modern data lakehouse design- Lead discovery calls, technical demos, RFP responses, and complex POCs for both SaaS and on‑prem deployments, defining and executing success criteria- Collaborate closely with product managers and engineering leadership to provide field insights, influence roadmap decisions, and validate new features- Represent Dremio at conferences and partner events, delivering technical presentations and hands‑on demos to prospects and industry leaders- Blog: Webinar (starting at 6:10): Webinar (Demo): & LLM Work (Last 12 Months)Designed and demoed AI‑powered capabilities within Dremio’s UI, integrating multiple LLM models (Claude sonnet 4.5, OpenAI gpt-5, and others) to enhance data exploration, SQL generation, and workflow automation.Leveraged Dremio’s semantic layer to give LLMs rich contextual understanding of datasets, enabling more accurate SQL generation, fewer hallucinations, and significantly reduced token usage.Developed and delivered AI‑focused demos and presentations to showcase how generative AI accelerates analytics, reduces friction for data teams, and unlocks new lakehouse‑native workflows.

Education

• DePaul University

  Master’s Degree, Management Information Systems

  2003 — 2005

• University of Illinois Chicago

  Bachelor’s Degree, Accounting

  1992 — 1995

Skills

• Data Warehousing
• Professional Services
• Soa
• Performance Tuning
• Apache Kafka
• Sales Presentations
• Business Intelligence
• Disaster Recovery
• Data Migration
• Sdlc
• Oracle Rac
• Solution Architecture
• Enterprise Data
• High Availability
• Oracle
• Cloud Computing
• Management
• Pre-Sales
• Obiee
• Middleware
• Databases
• Real Time Reports
• Amazon Web Services (Aws)
• Software Project Management
• Saas
• Shell Scripting
• Integration
• Data Integration
• Solaris
• Microsoft Azure
• Pl/Sql
• Unix
• Data Modeling
• Oracle Applications
• Oracle E-Business Suite
• Eai
• Apache Spark
• Oracle Enterprise Manager
• Etl
• Enterprise Software