Hi! I'm a Data Engineer focused on web scraping, building data pipelines, and structuring unstructured data. My goal is to help clients extract the data they need efficiently and ensure it flows seamlessly into their databases.
My primary environment is Google Cloud Platform (GCP), where I deploy scraping scripts, automate workflows, and manage cloud databases.
In addition to core data engineering, I have over 3 years of experience as a GIS Analyst. This background gives me a strong foundation in handling complex spatial data structures, coordinates, and geographic formats that require precise processing.
Technical Skills
Cloud Platform: Google Cloud Platform (GCP)
Data Extraction: Web scraping (Python, BeautifulSoup, Scrapy, Selenium), API integration, and handling dynamic content.
Data Engineering: ETL pipeline development, data cleaning, and database management (SQL, PostgreSQL, MySQL).
Programming Languages: Python, SQL, JavaScript.
Geospatial (GIS) Expertise: QGIS, ArcMap, JOSM, Global Mapper. Handling formats like GeoJSON, Shapefiles (.shp), Geodatabases (.gdb), KML/KMZ, and LiDAR (LAS/LAZ).
What I Do
Web Scraping & Automation: Building reliable scripts to extract data from public websites and automating the collection process.
Cloud & Pipeline Setup: Deploying scripts and managing data workflows within GCP to ensure data flows reliably.
Data Cleaning & Database Design: Taking raw, messy scraped outputs and structuring them into clean, relational databases or standard formats (CSV, JSON).
Geospatial Data Processing: Integrating location data, cleaning coordinate formats, and converting spatial datasets.
If you have a project that requires data extraction, pipeline automation, or geospatial processing on GCP, feel free to send me a message so we can discuss the details.
