Before/after stability and throughput
Recommended case study format
- Problem: what was failing, slow, blocked, or risky.
- Approach: the database, scraping, or Python strategy you used.
- Outcome: quality, speed, uptime, scale, or business impact.
The layout supports structured case studies, metrics, screenshots, and image placeholders. Replace each placeholder with a real project asset when ready.
Portfolio and service site for a senior database administrator, data automation specialist, and Python developer.
support@unpontdev.com
Romania • Remote-first • EU / UK / US friendly
Before/after stability and throughput
Rate-limit-aware acquisition and parsing
Scheduled reporting and quality checks
Each card includes the kind of asset that should live there. Replace them from the page editor when you have the real material.
Add a visual for a migration or performance tuning story.
Laptop mockup or cropped admin screenshot with neutral colorsAdd a scraper architecture or data validation panel.
Flow diagram or browser automation snapshotAdd a reporting automation example.
Spreadsheet to dashboard transformation visual