Hi, I'm
I build data-driven products, automate pipelines, and tell stories with football analytics. Recently I've been helping non-profits level-up their reporting stacks and guiding utilities through data-compliance transformations.
Technical Skills
A comprehensive overview of my technical expertise, from technologies I use professionally to emerging skills I'm actively developing to stay at the forefront of innovation.
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.
About Me
Get to know more about my journey and expertise
I'm a passionate Data Engineering and Machine Learning Engineer with expertise in building scalable data solutions and implementing machine learning models that drive business value.
My journey in data engineering has equipped me with deep knowledge of modern data stack technologies, including Snowflake, Databricks, and various ETL tools. I specialize in designing and implementing robust data pipelines that ensure data quality and reliability.
In the realm of machine learning, I focus on developing and deploying models that solve real-world business problems, from predictive analytics to natural language processing applications.
Data Engineering
- • ETL Pipeline Development
- • Data Warehouse Design
- • Data Quality & Testing
- • Performance Optimization
Machine Learning
- • Model Development
- • Feature Engineering
- • MLOps & Deployment
- • Model Monitoring
Cloud & DevOps
- • AWS & GCP
- • Docker & Kubernetes
- • CI/CD Pipelines
- • Infrastructure as Code
Tools & Languages
- • Python & SQL
- • Snowflake & Databricks
- • Apache Spark
- • Git & GitHub
Technical Skills
A comprehensive overview of my technical expertise
Technical Expertise Overview
Snowflake
90%Databricks
85%Apache Spark
80%ETL/ELT
90%Data Modeling
85%Data Quality
85%Featured Projects
A showcase of my recent work and contributions
Education
Marhoefer, Hogan
Applied Data Science for Business
Subject | Number | Title | Credits | Category |
|---|---|---|---|---|
| BTA | 511 | Business with SQL | 4 | Data Science |
| BTA | 521 | Data Visualization | 2 | Data Science |
| BTA | 523 | Special Topics: ML for Managers | 2 | Data Science |
| BTA | 516 | Multiple Regression Business Applications | 3 | Data Science |
| ETM | 527 | Data Mining for Business | 4 | Data Science |
| ETM | 538 | Data Warehousing | 4 | Data Science |
| ETM | 540 | Operations Research | 4 | Business Strategy |
| MGMT | 518 | Digital Transformation: Business | 4 | Digital Transformation |
| MGMT | 519 | Digital Transformation: Security | 4 | Digital Transformation |
| MGMT | 520 | Organizational Change in Digital Transformation | 4 | Digital Transformation |
| MGMT | 511 | Foundations of Strategy | 2 | Business Strategy |
| RE | 521 | Real Estate Finance I | 4 | Business Strategy |
Overall GPA
3.93
32 Total Credits
Portfolio Analytics
Real-time performance and engagement metrics