About Me

BI & Data Engineer | Economics & Bitcoin Enthusiast | AI Builder

Hello, I'm Charles

I'm a Business Intelligence & Data Engineer passionate about turning raw data into actionable insights. With a background spanning fintech, e-commerce, and financial services, I've built everything from real-time analytics pipelines to enterprise BI platforms.

Beyond traditional data work, I'm deeply interested in economics and Bitcoin. I analyze monetary policy, market dynamics, and on-chain metrics to understand the evolving financial landscape. This intersection of traditional economics and digital assets is where I find the most fascinating problems.

Recently, I've been exploring AI and LLM-powered tools, building applications that leverage language models for data analysis, natural language querying, and automated insights generation.

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Skills & Technologies

Data Stack

SQL

Python

Apache Spark

Snowflake

Databricks

SQL Server

Azure Data Lake

BI Tools

Power BI

Tableau

Looker

AI & LLM

OpenAI

Anthropic / Claude

Prompt Engineering

Career Journey

2022-2025

Principal BI Engineer

Ascend Analytics

Leading business intelligence strategy and architecture. Building advanced analytics solutions and data platforms.

2022

Lead BI Developer

Xpress Technologies

Led BI development initiatives and analytics infrastructure.

2019-2022

Systems Developer

Mohawk Industries

Developed enterprise systems and data solutions for manufacturing operations.

2018

Operations Manager

Amazon

Managed operations and logistics, driving efficiency through data-driven decision making.

Interests & Focus Areas

Economics & Markets

Macro analysis, monetary policy, market microstructure, and Austrian economics. Understanding how money works is fundamental to understanding data in finance.

Bitcoin & Digital Assets

On-chain analytics, Lightning Network, Bitcoin economics, and the future of sound money. Building tools to analyze and visualize the Bitcoin network.

AI & Automation

Large language models, RAG systems, automated workflows, and intelligent data processing. Making AI practical for real-world data problems.

Open Source

Contributing to and building open-source tools for data engineering and analytics. Sharing knowledge and collaborating with the community.