Welcome!

I’m Danty Cook, an early-career data professional completing my B.S. in Data Analytics (Nov 2025) and pursuing a career in Data Engineering. My work centers on building reliable data systems—leveraging SQL, Python, and ETL/ELT pipelines for data cleaning, modeling, and validation.

I’ve gained experience across data warehousing, cloud platforms, MLOps, and data governance, supported by industry credentials like CompTIA Data+, which validate my analytical expertise. Recognized for problem-solving, attention to detail, and collaborative leadership, I aim to contribute to the design, optimization, and scaling of enterprise data infrastructure.

Feel free to explore my projects, where I bring together academic training and applied experience to transform raw data into meaningful insights.


Professional Focus

Data Engineering & Analytics – Building reliable data pipelines and transforming data into insights
Visualization & Storytelling – Creating dashboards and reports that drive decisions
Machine Learning Foundations – Applying models and feature engineering to real-world datasets
ETL & API Integration – Designing workflows to connect and process diverse data sources
Automation & MLOps – Streamlining processes with DevOps practices and experiment tracking
Process Improvement & Governance – Enhancing data quality, governance, and scalability



Featured Essays

Data and Information Governance — Summary & Full Report →


Technical Skills

Programming & Scripting
Python (Pandas, scikit-learn, NumPy, BeautifulSoup), R, C++

Databases & Querying
SQL (Postgres, MySQL, SQLite, T-SQL)

Data Visualization
Power BI, Tableau

Version Control & DevOps
Git & GitHub, GitHub Actions (CI/CD), Docker

Data Engineering Tools
ETL/ELT Pipelines, Kafka (learning), DevOps for Data Pipelines


Certifications

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Education


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Let’s Connect

I’m always open to opportunities and collaboration — feel free to reach out! 🚀