Hi, I'm
I'm a data engineer who builds pipelines, warehouses, and data products that teams can rely on. Off the clock I build backend tools and APIs—automation, services, and side-projects that scratch the software-engineering itch and keep the craft sharp.
Technical Skills
Core data-engineering stack I use daily, plus backend and infra tools I'm building with in side-projects and ongoing learning.
These skills represent my journey as a developer, combining proven expertise with continuous learning. I believe in staying current with emerging technologies while maintaining mastery of core fundamentals.
Skill Domain Overview
About Me
Data engineering first; backend and side-projects on the side
I'm a Data Engineer with a strong background in the modern data stack: pipelines, warehouses, ETL/ELT, and data quality. I design and build systems that make data reliable, discoverable, and actionable for the teams that depend on it.
My day-to-day centers on Snowflake, Databricks, dbt, Airflow, and SQL—building and maintaining robust data pipelines and helping organizations level up their DataOps and reporting.
Outside of data engineering I stay sharp with backend software engineering: APIs, services, and automation. Many of my side-projects are Python-based tools and libraries that solve real problems and keep me close to the code.
Data Engineering
- • ETL Pipeline Development
- • Data Warehouse Design
- • Data Quality & Testing
- • Performance Optimization
Backend & Side Projects
- • APIs & Services
- • Python Libraries & Tools
- • Automation & Scripting
- • Clean, Maintainable Code
Cloud & DevOps
- • AWS & GCP
- • Docker & Kubernetes
- • CI/CD Pipelines
- • Infrastructure as Code
Tools & Languages
- • Python & SQL
- • Snowflake & Databricks
- • Apache Spark
- • Git & GitHub
Technical Skills
Data engineering and modern data stack first; backend and tooling close behind
Snowflake
90%Databricks
85%Apache Spark
80%ETL/ELT
90%Data Modeling
85%Data Quality
85%Featured Projects
Data engineering work and backend side-projects—pipelines, APIs, and tools
Education
Marhoefer, Hogan
Applied Data Science for Business
Subject | Number | Title | Credits | Grade | Category | Term |
|---|---|---|---|---|---|---|
| BTA | 516 | Multiple Regression Business Applications | 3 | A | Data Science | Fall 2025 |
| BTA | 522 | Special Topics: Tech for Biz | 2 | A | Digital Transformation | Fall 2024 |
| BTA | 521 | Data Visualization | 2 | A | Data Science | Spring 2024 |
| BTA | 523 | Special Topics: ML for Managers | 2 | A | Data Science | Winter 2024 |
| BTA | 511 | Business with SQL | 4 | A | Data Science | Fall 2023 |
| ETM | 540 | Operations Research | 4 | A | Business Strategy | Fall 2025 |
| ETM | 527 | Data Mining for Business | 4 | A- | Data Science | Winter 2024 |
| ETM | 538 | DSS Data Warehousing | 4 | A | Data Science | Winter 2024 |
| MGMT | 520 | Organizational Change in Digital Transformation | 4 | A | Digital Transformation | Spring 2025 |
| MGMT | 519 | Digital Transformation: Security | 4 | A | Digital Transformation | Winter 2025 |
| MGMT | 511 | Foundations of Strategy | 2 | A- | Business Strategy | Fall 2024 |
| MGMT | 518 | Digital Transformation: Business | 4 | A | Digital Transformation | Fall 2024 |
| RE | 521 | Real Estate Finance I | 4 | A | Business Strategy | Fall 2023 |
Overall GPA
3.93
32 Total Credits
Portfolio Analytics
Real-time performance and engagement metrics