I'm a data professional specializing in backend automation, API integration, and database-driven solutions.
I build tools that connect, analyze, and automate systems — often with Python, SQL, and Postgres.
I'm equally fluent in explaining technical decisions to non-technical stakeholders.
My projects emphasize reliability, modularity, and real-world application.
🔧 See my projects below for examples of my work.
A Flask-based REST API for retrieving job postings scraped from Workday-hosted career sites. Supports scalable multi-institution configurations, SQLite database integration, and OpenAPI docs for easy consumption.
- 🔍 Built for job aggregation and filtering
- ⚙️ Modular architecture with clean endpoint structure in JSON format
- 📄 Auto-generated Swagger documentation
- 🛠️ SQLite backend
Here are a few representative projects demonstrating backend integration, automation, data pipelines, and consulting-focused tooling:
- workday_scraper
Python script that scrapes job listings from Workday-hosted portals and logs them into Notion databases. Features deduplication, structured logging, and modular scraping logic — ideal for API automation and personal job search optimization. - news_agg
News aggregation tool that collects and processes articles from multiple sources (RSS, APIs), with normalization and output formatting. Highlights backend ingestion, scheduling, and extensibility. - SQLAlchemy_and_sqlite
Demonstrates ORM modeling, schema design, and data interaction using SQLAlchemy with SQLite. Emphasizes core RDBMS concepts and programmatic query design — aligned with Postgres-focused work. - glassdoor_review_analysis
End-to-end pipeline for scraping, cleaning, and analyzing Glassdoor company reviews. Includes text normalization, sentiment scoring, and reporting — a strong example of technical analysis and data transformation. - excel-text-differ
A browser-based tool for comparing columns of text from Excel files using a character-level diff algorithm. Built with SheetJS and Diff Match Patch; demonstrates frontend logic, UX clarity, and integration of third-party libraries. - jharemza.github.io
My personal portfolio site, built with Jekyll and the Chirpy theme. Includes blog posts, project documentation, and technical writing relevant to backend and data workflows.
- Languages: Python, SQL, JavaScript, Bash
- Data & Backend: PostgreSQL, SQLite, SQLAlchemy, REST APIs
- Web/Frontend: HTML, CSS, SheetJS, Bootstrap
- Automation & Scripting: Requests, Selenium, Notion API, GitHub CLI
- Tools & CI/CD: Git, GitHub Actions, VS Code, Jupyter, Pandas, GitHub Pages
- Cloud & Platform: GCP, BigQuery, Cloudflare
- Dev Environment: WSL2, local Linux shells, dotfile-managed config
