Modern Data Stack & AI/ML Integration
What I Have Done
SnowPro Core
Certified — Snowflake
Fivetran • Databricks • Snowflake
dbt • Airflow • Power BI
AI & LLM
Hands-On Integration
llama.cpp • n8n • Langfuse
MCP • GPU Acceleration
Enterprise
AI at Scale
Expanded team scope to ML solutions & AI-adjacent workstreams at Gainwell Technologies
What I Provide
Stack Architecture
Ingestion, transformation, warehousing & visualization tool selection and integration
Cloud Warehousing
Snowflake & Databricks implementation guidance and best practices
Data Pipelines
Fivetran, dbt & Apache Airflow for reliable ELT/ETL workflows
AI/ML Readiness
Assess whether your data infrastructure can support ML workloads
LLM & Agent Integration
RAG, agent-based architectures & AI-driven automation proof-of-concepts
Modernization Roadmap
Strategy to move from legacy infrastructure to cloud-native, analytics-ready platforms
Why It Matters to You
Practical
Not Theoretical
Built with these tools hands-on. Understands real-world trade-offs between Snowflake vs. Databricks, dbt vs. custom pipelines.
AI-Ready
Infrastructure
Build the data foundation so when you deploy models or AI agents, the data layer is not the bottleneck.
Faster
Time to Value
Analysts spend less time wrangling data and more time delivering insight with a well-designed modern stack.
Future-Proof
Investment
Tools and architectures that scale with your business, avoiding costly rip-and-replace cycles.