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
Architecture
Serverless Integration
Core Tech
Azure API Gateway
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
Architecture
Pub/Sub Streaming
Core Tech
Kafka & EventBridge
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
Architecture
Data Orchestration
Analytics
Databricks & Power BI
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
Architecture
Multi-Region AKS
Observability
Grafana & Power BI