Analytics Engineering
Elvis
Production analytics engineering, an extract, load, model, test, and serve pipeline run the way a data team runs it.
dbt / DuckDB / Streamlit / SQL
Data & Applied-AI Engineer
Thoughtful systems.
Useful software.
I’m Evan Appel. I turn complex data into clear decisions, and build software that holds up in the real world.
A decade in data. A hands-on approach to applied AI. From pipelines to products, I pair the speed of agentic tools with the discipline of good engineering.
10+ yearsTurning data into decisions
30 projectsLeading a SAS-to-Python migration
100 analystsPython & Git technical authority
01 / Selected work
Built with purpose.
Analytics Engineering
Robbins
Multi-source ingestion and dimensional modeling, pulling two public-data APIs into one tested warehouse.
dbt / DuckDB / Streamlit / Altair
Analytics Engineering
Groening
A reproducible dbt warehouse baked fresh at build time, with the city-specific config isolated to one file.
dbt / DuckDB / Streamlit / Altair
02 / Experience
A foundation in data.
An instinct to build.
Experience, skills, and education. Explore a resume tailored to the work you have in mind.
Skills
Claude Code / Agentic AIPythonSQLSnowflakePolarspandasdbtGitGitLab CI/CDpytestSASTableauTypeScriptBashETL DesignData WarehousingMarketing AnalyticsAWS / Redshift
Experience
Marketing Analyst
Credit One Bank
Feb 2023 – Present
- –Formal lead on a 30-project, ~25,000-line SAS-to-Python migration onto the bank's Snowflake Enterprise Data Platform, directing six engineers of varying Python levels — with standardized packaging, a pytest validation methodology (cached fixtures, CI without a live DB), and the team's first GitLab CI/CD pipeline.
- –Led a three-person team to 3rd place in the bank's first AI Hackathon (bank-wide, C-suite judges) with an agent-built tool that turned hundreds of PDFs into infographics, dashboards, and decks — weeks of work compressed to ~1 hour.
- –Apply agentic development daily and drive Python, Git, and agent-tool adoption across a 100-analyst org via weekly workshops (since Aug 2024) and a 5,000-line internal manual adopted org-wide.
- –Only engineer in the department shipping code to DevOps for production; built the Brand Team ETL feeding a Tableau dashboard and integrated Snowflake with GitHub for version-controlled deployment.
Data Analyst
Coin Cloud
Jan 2021 – Dec 2022
- –Owned weekly cash-pickup route design for a cryptocurrency-ATM fleet from per-ATM fill data — balancing lost transactions against agent time, with direct financial and operational stakes.
- –Acting backup manager; mentored junior analysts. SQL / Python / Tableau / Redshift.
Data Analyst, Engineering Dept.
Precision Opinion
Dec 2019 – Jan 2021
- –Wrote SQL reporting for call-center management; owned PM and requirements gathering — the interface translating business stakeholders to the engineering team on a bespoke timekeeping software build.
Data Analyst → Data Scientist
Forms Direct
May 2012 – Oct 2019
- –Self-directed path from marketing content writer to in-house data analyst over 7+ years (SQL, Python, Excel, Mode Analytics); managed a small remote team.
Education
B.A.
University of Nevada, Las Vegas
2007 to 2012
Certifications
- –Snowflake Hands-On Essentials — Data Warehousing & Data Lake
- –PyCon US 2026 — incl. "Professional Python: From Vibes to Verification" (Matt Harrison)
- –Codecademy Data Engineer path (in progress, 2026)
03 / Get in touch
Good work starts
with a conversation.
I’m open to new opportunities. Have a role or a project in mind? Let’s talk.