Skip to main content

Architecture & Engineering

Deconstructing global, production-grade enterprise systems: from AI-driven data pipelines to high-throughput event meshes and multi-region cloud migrations.

Mission-Critical Integration

Enterprise ERP to Global Payroll Integration Fabric

An enterprise integration fabric connecting core ERP systems with global payroll operations. The fabric coordinates the flow of employee records, working time, overtime, and expense claims across distributed workforces, translating operational data into consistent payroll inputs. Delivered into production in under three months, it brings these exchanges into a coordinated monthly process with financial accuracy and traceability at its core.

The architecture separates business orchestration, data transformation, and transaction control, allowing each stage of the payroll cycle to be managed within a cohesive integration fabric. Ordered processing preserves the sequence of employee transactions, while a distributed audit and claim ledger records their progression across system boundaries. Controls for duplicate prevention, disbursement tracking, and reconciliation connect each claim to its processing history, supporting accountable payroll operations and investigation of exceptions.

Integration Fabric Business Orchestration Audit & Claim Ledger Enterprise ERP & Payroll APIs
Enterprise ERP to Global Payroll Integration and Audit Ledger Architecture

Architecture

Enterprise Integration Fabric

Data Integrity

Distributed Audit Ledger

Modernization

Automotive Fleet EDI Integration Fabric

A robust B2B integration architecture bridging modern cloud-native systems with legacy external partners for a major fleet delivery company. The system reliably ingests and translates critical vehicle handover notifications—coordinating truck dispatch from retailers to centralized compounds.

To navigate the rigid constraints of traditional logistics ecosystems, we engineered an elastic translation layer using C# .NET on Azure Functions, creating bidirectional parsing pipelines converting legacy EDI streams into modern JSON webhooks. We utilized Azure API Management (APIM) to enforce security, rate-limiting, and distribute the standardized data to downstream microservices, aligning legacy partner requirements with modern architectural best practices.

Azure Functions .NET / C# EDI Parsing Azure API Management
Fleet Handover EDI Diagram

Architecture

Serverless Integration

Core Tech

Azure API Gateway

Event-Driven Data

Global EV Telematics Distribution

A real-time data streaming platform designed to enhance event-driven solutions for Electric Vehicle (EV) telematic data. The system enables global fleet customers, rental car fleet companies, and logistics operators to securely access actionable insights—facilitating rapid, data-driven decisions across massive electric fleet networks.

The architecture ingests raw, high-velocity Kafka messages from OEM partners—processing streams of diagnostic data including EV Health, battery charge levels, and distance metrics mapped securely to individual vehicle VINs. Once processed, the data is pushed to an AWS EventBridge nervous system, which acts as the global distribution layer. This publisher-subscriber model ensures decoupled, robust, and low-latency delivery of critical EV telematics to diverse international downstream partners.

Apache Kafka AWS EventBridge Stream Processing EV Telematics
EV Telematics Distribution Architecture

Architecture

Pub/Sub Streaming

Core Tech

Kafka & EventBridge

AI & Machine Learning

MotherBrain: AI-Driven Fault Categorization

A pioneering AI-powered diagnostic platform designed to automatically identify, classify, and categorize complex software and hardware vehicle faults. MotherBrain accelerates the troubleshooting process, translating vast amounts of raw vehicular telematics into actionable engineering intelligence.

Hosted natively on AWS, the architecture utilizes AWS Step Functions to orchestrate intricate, multi-stage data cleanup and enrichment pipelines. The processed telemetry is fed into tailored Machine Learning models for automated fault categorization. Curated results are seamlessly shared with a central data platform hosted on Databricks, empowering automated, high-level reporting natively published in Power BI for stakeholders.

AWS Step Functions Machine Learning Databricks Power BI
MotherBrain AI Architecture Diagram

Architecture

Data Orchestration

Analytics

Databricks & Power BI

Cloud-Native Scale

Global Retailer Data Provisioning Platform

A comprehensive, full-stack application architected natively in Microsoft Azure, designed to ensure the seamless provisioning and distribution of critical retailer data worldwide. The solution bridges complex internal infrastructure with diverse external systems, establishing a cohesive and robust operational flow globally.

We orchestrated a massive transition from legacy systems directly into modern architectures—capitalizing on containerization, Microservices, APIs, and SOA/SaaS methodologies. The platform is deployed and distributed across multi-region Azure Kubernetes Service (AKS) clusters encompassing EMEA, AMER, and APAC, optimizing for both extreme scalability and high-availability. Bolstered by automated DevOps pipelines and deep observability via Grafana, the system meticulously enforces data compliance and distribution strategies in tight collaboration with data management stakeholders.

Azure (AKS) Microservices DevOps Grafana
Retailer Data Architecture Diagram

Architecture

Multi-Region AKS

Observability

Grafana & Power BI