Bridging Efficiency & Rigor
A high-reliability data engineering environment designed to audit transaction tables and automate ETL workflows with zero overhead.
95%
RAM Overhead Reduction
Migrated from Docker/WSL to Native Windows
<200MB
Runtime Footprint
Optimized for Self-Hosted Execution
99.9%
Pipeline Availability
Decentralized GitHub Service Orchestration
The Architecture Stack
Evaluating the data flow from ingestion to persistence.
Ingestion: REST APIs & Legacy CSV Support
Validation: Custom Logical Integrity Gate
Orchestration Evolution
Legacy: Task Scheduler
Local Batches
Local Batches
↓
Enterprise: Azure DevOps
Variable Group Secrets
Variable Group Secrets
↓
Modern: GitHub Actions
Self-Hosted Windows Service
Self-Hosted Windows Service
"The migration to a self-hosted service ensured 99.9% availability without manual terminal sessions."
Featured Data Pipelines
University Intelligence
Transforms nested JSON into optimized relational SQL tables.
Quality Validator
Pre-load gatekeeper ensuring 100% schema integrity.
Automated Auditor
Anomalous transaction detection with Slack API alerts.
Duplicate Detection
Ensures "Single Source of Truth" across data stores.