What is there to say about myself? I've learned many life lessons along the way and want to continue moving forward. I'm the type of person to gravitate towards strengthening my weaknesses. My own personal standards are high and that helps me keep motivated.
I'm a recovering perfectionist with a focus on self-improvement. I still give into my tendencies but also have the self-awareness to realize that perfection is sometimes the enemy of progress. Thus I give myself a little grace from time to time.
I'd like to think the common thread among my work history is a quantitative mindset. The management consulting roles were an effort to build those communication and leadership skills while the engineering roles were meant to build the technical skills. I've done both well enough to be able to communicate effectively between technical and non-technical stakeholders.
Where I've Worked
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Viridian Data (Senior Data Engineer) |
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Sharpshooter Analytic (Founder) |
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Southwire (Senior Data Engineer) |
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Simplebet (Software Engineer, Data) |
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Thought Logic (Data Consultant) |
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MBO Partners (Data Engineer) |
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GoExpedi (Data Engineer) |
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Accenture (Data Scientist) |
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Sagence - Acquired by PWC (Data Consultant) |
| Société Générale (Staff Auditor & Risk Analytics) |
I've used a lot of tools over the years, but these are among my favorites. I recently started learning Rust in an effort to level up my understanding of programming languages.
Python is my daily driver for data engineering, with R supporting statistical work and Rust teaching me systems concepts.
dbt powers SQL-based transformations.
PostgreSQL is my go-to relational database.
Docker keeps environments consistent and reproducible.
Most of my deployments run on AWS.
From orchestration to analytics, these tools support every stage of the data lifecycle.
- Business Analysis
- Data Analytics
- Data Architecture
- Data Engineering
- Data Governance
- Data Integrity
- Data Lineage
- Data Modeling
- Data Pipelines
- Data Quality Management
- Data Science
- ETL (Extract, Transform, Load)
These disciplines guide my approach to building reliable data platforms and extracting insight.
- Data Access Rights
- Data Ownership
- Data Sharing
- Governance Frameworks
- Project Management
Good governance ensures data remains secure and well-managed.