A self-service billing system built to integrate Moneris with a major insurance provider. The goal was to eliminate reliance on call centers for billing updates and make the process seamless for users.

• Moneris Integration: Allowed secure credit card and payment updates, with full PCI compliace.
• AWS Serverless Architecture: Fully event-driven for cost efficiency and scalability.
• Improved User Experience: Allowed members to update billing details without needing support calls.

By eliminating the need for manual billing changes, this system reduced operational overhead and significantly improved customer experience.

We revamped payment integrations across multiple enterprise systems, designing a flexible, scalable, and auditable framework. Unlike traditional integrations, we took a start-to-finish approach, ensuring every transaction was automatically reconciled at both the source and target systems.

• End-to-End Payment Flow: Tracked every transaction from initiation to settlement, ensuring full visibility.
• Flexible Integration Framework: Designed to easily accommodate new payment providers and processing rules.
• Automated Reconciliation: Built an auto-reconciliation process, cross-checking payment extracts between all systems.
• Scalability & Compliance: Architected with serverless AWS technologies, ensuring high availability, audit logs, and compliance with financial standards.

This system eliminated manual reconciliation efforts, reduced errors, and ensured that every dollar processed was accounted for across the enterprise.

A major enterprise data warehouse rebuild, designed to streamline ingestion, transformation, and reporting for a very large insurance client. The system included:

• Data Ingestion: Integrated with 5 external companies, processing 150+ daily data extracts.
• ETL Pipeline: A custom AWS Glue-based ETL process with full compliance auditing and logging for IFRS17 reporting.
• Validation Engine: A flexible validation system that allowed business users to modify data rules dynamically.
• SQL-Based ETL Engine: Optimized for AWS Redshift, allowing rapid data mart generation.
• Data Quarantine & Automated Fixes: Implemented a quarantine process for bad data, enabling automated correction workflows.
• Data Quality & Governance: Established a quality and validation framework, integrated stale data detection, and implemented enhanced PII protection.
• Faster Insights: Reduced data request time from weeks to a day.

This system transformed the company’s ability to deliver data on-demand, drastically improving efficiency, transparency, and allowed data-driven decisions.

A major enterprise integration for a high-value client, allowing them to seamlessly enroll customers, process payments, and generate reports. The system included:

• Enrollment Processing: Automated onboarding and real-time validation.
• Data Integrations: Connected with multiple internal systems to synchronize data.
• Payment Processing: Fully integrated with existing billing and claims workflows.

By implementing this system, the company onboarded two high-value clients, leading to substantial revenue growth.

Two major insurance companies needed an integration to create a fully automated enrolment and claims processing system to handle over 1 million students. The entire system was built serverless on AWS, leveraging:

• Admin & User Portals: A TypeScript-based frontend for both admin and customer interactions.
• Data Pipeline: A Python-driven ETL process using AWS Glue.
• High Availability: Designed with multi-AZ failover, disaster recovery, and auto-scaling.
• Security & Compliance: Integrated CloudTrail, SonarQube, and Snyk for enterprise security.

The result was a fully automated, scalable solution that streamlined claims processing and drastically reduced manual workload. This increased customer satisfaction and massively reduced resource costs.