For nearly six years I've run the relational databases of a public-sector institution in Bucharest and built the Python tools on top of them: ingestion pipelines, analytics apps and automated reporting. My main internal pipeline cut manual record lookups by ~85%.
Alongside that I build scraping and automation pipelines for freelance clients, and I design, ship and maintain Flutter apps, with six live on the App Store and Google Play.
Core competencies across enterprise Python data engineering, resilient web crawlers, cloud integrations, and relational database architectures.
High-throughput ETL pipelines, asynchronous data engines, schema modeling, and automated reporting.
Headless browser crawlers for dynamic sites, with session handling, rate limiting and automatic recovery.
Automated cloud CRM uploads, scheduled tasks, desktop robotic automation, and event-driven bots.
Relational modeling, connection pooling, compound indexing, query execution profiling, and disaster recovery.
Institutional databases since 2020, freelance automation since 2022, and self-published apps since 2019.
Filter between enterprise Python data systems, published production applications on Google Play & App Store, and active in-development tools.
Explore dedicated product landing pages, enterprise data architectures, Google Play and Apple App Store links, and official legal policies.