ASHLEY MCMAHON
Technical Solutions Architect | AI & Cloud Data Platforms
Summary
Technical Solutions Architect with 20+ years of experience, specializing in architecting and
deploying end-to-end data platforms and autonomous, expert-persona AI
agents. Expert in bridging Cloud Infrastructure (IaC), DevOps Automation, and
complex Python data pipelines to transform high-dimensional, unstructured data into clean,
model-ready datasets. Proven experience integrating GenAI/LLMs (Vertex/Gemini) to codify
expert human reasoning (from data analysis to market strategy) into scalable, automated
applications.
Technical & Systems Expertise
Cloud & DevOps
AWS (S3, CLI)GCP (Vertex AI)Azure (VMs, CLI)TerraformAnsibleIaCPuppet (Hiera)AirflowJenkinsCI/CD
Data Warehousing
SnowflakeBigQueryMongoDBPostgreSQLNoSQLAdvanced SQLETL/ELTData Modeling
Python & AI
PythonFastAPIPydanticSQLAlchemyPandasGenAI Prompt EngineeringLangChainStreamlitdbtREST APIs
Systems & Leadership
RHEL8Linux AdminLVMBash/ShellNetwork BondingAI Agent ArchitectureGlobal Training
Professional Experience & Key Projects
Generative AI Data Platform
- Architected a GenAI-powered data platform to automate the creation of data
products, including Generative ETL, Generative BI, and
Automated Narrative Reporting.
- The platform enriches millions of AdTech segments in Snowflake by calling GenAI (Vertex AI) for
automated categorization and business-ready descriptions.
- Includes a 'Persona Engine' that uses LLMs to dynamically write and execute complex,
multi-clause Snowflake SQL
HAVING logic, turning strategic tiers into queryable
audiences.
GenAI-Powered Audience Analytics Platform (FastAPI Backend)
- Architected the backend data platform for a Tableau Extension, enabling GenAI-driven audience
segmentation directly within dashboards.
- Engineered a Python (FastAPI) backend to translate dashboard interactions into
on-the-fly ELT jobs in Snowflake, reducing time-to-insight from days to under one
minute.
- Led the 20-year automation strategy for the global data platform, including architecting the full
IaC provisioning stack (Ansible, Terraform, Python) and leading the strategic
migration from Puppet to Ansible to resolve production-state drift.
- Spearheaded a zero-downtime migration of production MongoDB clusters (120+ shards) from Gen8 to
Gen10 hardware. Orchestrated the migration using a custom Python automation tool (
cluster_migrator.py)
and YAML configs to safely extend replica sets, sync data, and promote new primaries without
application interruption.
- Architected a domain-agnostic, multi-chain AI agent framework
(Python/FastAPI/Pydantic) designed to codify expert human reasoning into scalable, multi-artifact
applications.
- Designed and built an Autonomous Data Analyst Agent that connects to any Snowflake
DB, inspects the schema, and iteratively plans, reflects, generates, and executes
SQL to answer ambiguous questions (e.g., "who are our top athletes?"). The agent
auto-generates a final, boardroom-ready HTML/CSS report.
Leadership & Evangelism
- Global Python & GenAI Evangelist (Nielsen): Architected and delivered
a global, remote-first training curriculum ("MAAF-Master") for employees with no prior coding
experience, mentoring cohorts across the US, Europe, and Asia to scale data literacy
and hands-on GenAI skills.
- Project Lead & Facilitator (Nielsen): Spearheaded and designed a 3-day workshop to
demystify generative AI for 30+ non-technical sales professionals, guiding 9 cross-functional teams to
build and present AI-powered solutions.
- Presenter (Nielsen Global Data Science Annual Conference 2025): Presented a novel
approach to Generative AI implementation, highlighting a Tableau extension that addresses key challenges
of AI accuracy and data overload for enterprise users.
Athletic Achievements
Athletics Coach & Masters Sprinter (100m/200m), holding multiple Australian State and
National records.