At Veridion, I processed registry data and helped restore ingestion jobs across international datasets. I verified database delivery for a 1.5M-entity batch and fixed company-status parsing in an 822K-record dataset.
As a Data Engineer Intern at Veridion, I implemented source-specific parsers and Airflow workflows on a Python, Scala/Spark platform, processing 100k+ corporate records. I also built Python crawlers and Orion configurations to extract registry data from APIs, web pages, and downloadable files.
In my projects, I designed a MySQL schema and JDBC/DAO layer for a job application tracker, and developed JavaFX components for a blackjack game. I also worked on a Python and PySpark threat intelligence pipeline that grouped domains by shared TLS fingerprints for exploration in Neo4j.
