About Me
From Data Foundations to AI Innovation Link to heading
I am a Data Engineer with over 11+ years of experience building the robust architectures that power large-scale enterprise decisions. My journey began at Verizon, where I progressed from developing ETL pipelines to architecting Business Intelligence solutions for complex telecommunications data.
Throughout my career, I’ve specialized in the “plumbing” of data—ensuring that information is clean, scalable, and accessible. I’ve spent years mastering ETL (Extract, Transform, and Load) Process, performing complex SQL optimization, and Data Warehousing (Fact/Dimension modeling). If there is a bottleneck in a pipeline or a query that needs tuning, I’ve likely solved a similar version of it.
Why Data Science? Link to heading
Engineering the data is only half the story. My passion lies in what happens after the pipeline ends. I am currently transitioning into Data Science and AI, leveraging my deep engineering roots to build models that aren’t just accurate, but production-ready.
I’ve recently augmented my 11+ years of hands-on experience with:
- A Master of Science in Computer Science from Stevens Institute of Technology - 2024
- A Certificate in Business Intelligence from Stevens Institute of Technology - 2024
- A Certificate in Data Science from Harvard Extension School - 2019
What I Bring to the Table Link to heading
I don’t just build models in a vacuum. I understand the underlying infrastructure required to make AI work in the real world. Whether it’s containerizing an application with Docker or designing a schema that supports real-time analytics, I focus on the intersection of Software Engineering, Data Architecture, and Machine Learning.
🛠️ Technical Toolkit Link to heading
- Languages: Python (NumPy, SciPy, Pandas), Java, SQL (CTEs, Window Functions)
- Data Engineering: ETL/ELT, Data Warehousing (Fact/Dimension modeling), SQL Optimization
- Data Science: Predictive Modeling, Statistical Analysis, Web Scraping
- Visualization: Tableau, Looker
- DevOps: Docker, Git, Linux/Unix
🤝 Let’s Connect Link to heading
I am currently seeking my next challenge in Data Engineering or Data Science roles where I can help turn raw data into strategic intelligence.