Professional Summary
Analytics Engineer at AWS building data and cloud solutions serving thousands of internal users. Spend
75% of time writing SQL, building ETL pipelines, and architecting Redshift data models processing
hundreds of millions of rows. Deep understanding of sales and opportunity pipelines. Drive process
improvements through self-service analytics platforms and GenAI automation. Balance hands-on technical
execution with strategic prioritization and cross-functional program leadership.
Technical Skills
SQL & Data: Advanced SQL (CTEs, window functions, materialized
views, recursive queries, regex parsing), Redshift, PostgreSQL, data modeling, ETL pipelines, query
optimization
Tools & Platforms: Quick Suite - specialist, Tableau, Python,
PySpark, Git, Salesforce integration
AWS & Cloud: Redshift, Glue, Lambda, S3, QuickSight
GenAI & Automation: Bedrock, Claude API, Amazon Q for Business,
Q topics, LLM integration, automated data analysis
Analytics Domains: Product, People & Workforce, Sales Pipeline,
Customer Success Analytics
Professional Experience
- Built end-to-end analytics solution integrating Salesforce and customer data to identify stalled
opportunities. Conducted stakeholder interviews to understand blockers, then designed dashboard
using advanced SQL (CTEs, window functions, regex parsing, aggregations) that surfaces
opportunities where sales need technical help. Drove 💰$6B+ in high-compete opportunity completion with
📊>30% conversion
improvement, still used daily by sales, SAs, and GTM teams.
- Leading cross-functional initiative to improve review processes for 👥600+ SA managers
using data and generative AI tools. Sought executive buy-in through strategic roadmap and
prioritization. Co-building AI-powered insights platform to automate exploratory data analysis
and executive reporting. Ongoing project projected to save ⏱️>60,000 hours
annually.
- Lead worldwide goal-setting and KPI framework design for 👥8,000+ Solutions
Architects. Partner with executives to translate strategic priorities into measurable metrics.
Build predictive models tracking previous, current, and projected goal completion while
architecting all underlying data models in Redshift.
- Architect self-service BI solutions that reduced routine reporting requests by 📊40%, freeing
capacity for strategic development work through process optimization and automation.
- Designed and implemented row-level security solution for team data access controls, translating
stakeholder requirements into technical data model using Amazon Honeycode beta platform.
EARLIER EXPERIENCE
B2C Sales Specialist, Apple, Dallas, TX (Apr 2022 – July 2023) |
Data Analyst, Dine Surf, Remote (2020 – 2021) |
Chemical Engineer, PepsiCo, Mesquite, TX (2019 – 2020)
Certifications
AWS Certified AI Practitioner
Feb 2025
AWS Certified Data Engineering Associate
Nov 2025
AWS Cloud Practitioner
2022
Tableau Desktop Specialist
Dec 2023
Education
M.S., Information Systems |
The University of Texas at Dallas
2023
B.Eng., Chemical Engineering |
Landmark University
2017
