FinTech
The client needed a structured system to process and enrich large volumes of candidate data collected from multiple external sources. Recruiters had difficulty finding relevant talent because of inconsistent input formats and missing key attributes. We built a platform that centralizes, automatically gathers, standardizes, and stores candidate profiles using business-defined rules.
Custom Software Development
CRM Development
The client needed a reliable system to process contact and job-related data collected daily from multiple external sources. Incoming profiles often lacked key information like skills or specializations, and the data varied in format across sources, making it difficult for recruiters to apply filters or shortlist candidates effectively.
Internal HR team was spending too much time manually checking, tagging, and updating profiles to meet hiring criteria. The client needed to automate this process with rule-based logic that could enrich profiles, while storing everything in a unified structure to support scalability and compliance needs.
We developed a system that processes candidate data collected daily from several external platforms. Using stored procedures, we applied business-defined rules. For example, assigning skills like “DevOps” when a matching job title is detected. This helped standardize incomplete profiles and made it easier for recruiters to filter candidates based on specific criteria.
To handle daily workloads efficiently, we used Azure Functions and .NET 8 to run the enrichment logic, with all processed data stored in structured tables in Microsoft Fabric. The system reduced manual work, improved data consistency, and created a reliable foundation for future extensions, new features, or real-time data updates.
Candidate data is pulled daily from multiple external platforms and stored in a unified structure.
Stored procedures apply business logic to identify missing skills and enrich candidate profiles based on job titles and other attributes.
Vendors could independently access up-to-date reports, reducing manual reporting workload and improving response times.
Processed data is saved in Microsoft Fabric tables, providing a stable, scalable foundation for future reporting or advanced analytics.
The system ensures consistent structure across all incoming data, making it easier to search, compare, and filter candidates.
Built on Microsoft technologies, the platform fits into the client’s current workflow, without disrupting internal systems.
Recruiters and admins can trace how enrichment rules are applied, improving trust in the output and simplifying updates.
Automated enrichment replaced repetitive data checks, helping recruiters spend less time fixing profiles and more time evaluating candidates.
