
Realtime Fraud Detection Platform
Sub-second fraud scoring across 2M events/day using Flink and a feature store.

I'm Syed Moiz — a Data Engineer & Cloud Architect designing reliable, scalable pipelines and lakehouses across Azure, AWS and GCP.
A selection of production data engineering and cloud architecture projects spanning streaming, lakehouse, and warehouse workloads.

Sub-second fraud scoring across 2M events/day using Flink and a feature store.
Reference architectures distilled from real deployments. Click any diagram to view it in detail.
The technologies I reach for, grouped by where they live in the data lifecycle. Hover a node to trace its connections.
Validated expertise spanning Azure, AWS, GCP and the modern data stack.
Microsoft Azure
Microsoft Azure
Amazon Web Services
Amazon Web Services
Google Cloud
Google Cloud
Microsoft Azure
Amazon Web Services
Field notes on streaming, lakehouse architecture, and running data platforms across Azure, AWS, and GCP.
Exactly-once is a lie you tell your stakeholders. Here is how to build effectively-once pipelines with checkpoints, watermarks, and deterministic keys.
A practical framework for choosing between Delta Lakehouse and a cloud warehouse based on query patterns, concurrency, and storage economics.
How we standardized transformation logic across Synapse, Redshift, and BigQuery with a single dbt project and provider-aware macros.