Staff Augmentation for Contractor-Finder Web Platform
Services Covered:

Industry
Software Development
Duration
10 months
Budget
10K - 49K
Start Date
1 April 2019
Team Size
1-5 Employees
Engagement Model
Offshore
Project Capability Score (PCS)
78/100
Good
Project Capability Score (PCS) estimates how capable UKAD is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS
Client
July Agency
Project Summary
UKAD provided two developers as staff augmentation for a web platform project aimed at creating a contractor-finding platform for the building industry. The developers worked with .NET Core 3.0 and integrated technologies such as Elasticsearch, Apache Kafka, Docker, and MS SQL. The project was delivered on time with effective daily SCRUM meetings and the client reported satisfaction with the outcome.
Key Challenges
- Augment the existing team with two additional developers.
- Build a platform to allow finding contractors in the building industry.
Project Deliverables
- Two developers (staff augmentation)
- .NET Core-based platform development components
- Integration with Elasticsearch, Apache Kafka, and MS SQL
Project Solution
UKAD supplied two developers to augment the client's team and contribute to development of a .NET Core 3.0 web platform. The developers worked remotely, participated in daily SCRUM meetings, and implemented components that used Elasticsearch, Apache Kafka, and MS SQL. Design, management, and QA were retained by the client.
Project Outcome
- The project was delivered on time and the client was satisfied.
- Daily SCRUM meetings facilitated effective remote collaboration and communication.
Platforms
Web
Tech Stack
.NET Core
Elasticsearch
Apache Kafka
SQL
Client Endorsement
Overall Review Rating
5
5 out of 5 stars
Timeliness
Cost Rating
Willing to Refer
Quality of Deliverables
“UKAD successfully delivered the project. The customers were satisfied and the project was delivered successfully.”
Note: This endorsement is based on publicly available client feedback from external review sources.
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