A US-based e-commerce platform needed to aggregate pricing and inventory data from 50+ competitor marketplaces in real-time to adjust their own dynamic pricing algorithms. Their existing solution was slow, constantly blocked by anti-bot measures, and failed to handle the volume of data (millions of SKUs), leading to stale pricing strategies and lost revenue.
Request
The client required a scalable Data Engineering team to architect a distributed web scraping pipeline capable of aggregating competitor pricing data from 50+ sources in real-time.
Indusrty
Ecommerce
Status
Work in progress
Location
the USA
Team
2 Senior Python developers
Challenges
01
A US-based e-commerce platform needed to aggregate pricing and inventory data from 50+ competitor marketplaces in real-time to adjust their own dynamic pricing algorithms. Their existing solution was slow, constantly blocked by anti-bot measures, and failed to handle the volume of data (millions of SKUs), leading to stale pricing strategies and lost revenue.
We add senior software engineers to growing product development teams
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CommunityConnect Labs enables governments and foundations to communicate with hard-to-reach populations via mobile messaging. As demand for real-time census and survey data grew, their internal engineering team faced a bottleneck. They needed to move from sporadic updates to frequent, reliable releases without breaking the critical communication pipelines used by vulnerable communities. They required a partner who didn't need "hand-holding"—someone who could push code on Day 1.
Team Provided
Uvik deployed a Senior Python Engineer (7+ Years Exp) to act as a "Force Multiplier" for the client's core team.
- Process Integration: Unlike typical external vendors who work in isolation, our engineer fully adopted the client's internal Agile/Asana workflows, participating in daily stand-ups and sprint planning as a native team member.
- Architecture Refactoring: We optimized the Django backend to handle high-concurrency messaging bursts, ensuring the platform remained stable during critical public outreach campaigns.
- Quality Assurance: Collaborating with our internal ISTQB-certified QA standards, we implemented automated regression checks that allowed the client to ship features faster with fewer manual reviews.
Value Delivered
Release Velocity: Reduced the feature deployment cycle from 2 weeks to 3 days, enabling the client to respond rapidly to changing government requirements.
System Reliability: Maintained 99.98% API Uptime during peak messaging campaigns (e.g., Census outreach), processing thousands of concurrent SMS interactions.
Onboarding Speed: The Uvik Senior Engineer merged their first production Pull Request within 48 hours of contract start, validating our "Zero Ramp-Up" promise.
Operational Efficiency: Refactored legacy Python modules to reduce technical debt, decreasing the average "Bug Fix Time" by 40%.
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