Sean
Fallon
Building data infrastructure for government and enterprise. Oracle to Databricks. Legacy to modern. M.S. Computer Science, NJIT. Open to Data Architect and senior data engineering roles.
Technical Skills
Core competencies- Oracle & PL/SQL
- PostgreSQL & MySQL
- Databricks & PySpark
- Delta Tables
- ELT Processes
- Data Modeling
- Dimensional Modeling
- Performance Tuning
- Python
- SQL & PL/SQL
- Shell Scripting
- Java
- Streamlit
- Workflow Automation
- Batch Processing
- Power BI
- ORDS
- JSON & CSV Outputs
- PDF Generation
- Legacy Report Migration
- API-Driven Data Access
- Git
- Docker
- Azure DevOps
- CI/CD
- AIX & Unix
- Linux
- Cloud Infrastructure
- TensorFlow & PyTorch
- Scikit-Learn
- PCA & Clustering
- NLP
- Deep Learning
- Image Recognition
- Data Integration
- Source-to-Target Mapping
- Validation & QA
- Data Quality Frameworks
- Documentation
- Knowledge Transfer
Experience
Professional historyData engineering and architecture role at the Division of Revenue and Enterprise Services, supporting Notary, Apostille, UCC, and Business Services systems. Analyze regulatory and financial data flows, design source-to-target transformation logic, and build reporting infrastructure serving multiple Treasury programs.
Designed and developed PL/SQL packages, procedures, and database views implementing business rules and ETL processes. Replaced legacy Excel/VBA reporting with Python and Streamlit applications. Automated AIX batch processing workflows eliminating weekend support requirements. Integrated vendor data feeds with internal Oracle databases.
Recognized with the 2025 Innovation and Efficiency Award.
Coordinated patient services using Electronic Medical Records systems, developing proficiency in structured data systems, workflow analysis, and process optimization in a regulated healthcare environment.
Freelance web development and content strategy for clients including Biddle Communications and American Dream U. Built WordPress sites, implemented Google Analytics tracking, and automated workflows using Python.
Education
Academic backgroundSpecialization in machine learning and deep learning. Coursework in NLP, computer vision, data structures, and algorithms. Applied ML techniques including PCA, K-Means, TensorFlow, PyTorch. Member, NJIT ACM.
Focus on communication strategy, analytics, and audience engagement. Member, PRSSA.
Let's Talk
Open to Data Architect and senior data engineering roles. Available for on-site, hybrid, or remote positions in the New York City metropolitan area and beyond.