A digital content-moderation platform for regulatory compliance: when harmful content is found on Microsoft platforms, it's reported to government regulators. Inbound government emails trigger automated parsing, case creation, and API reporting; new countries onboard through configuration, with zero code changes.
More detailsThe Canvas
Awet Banks-Hagos's skills, experience, and measurable impact, mapped in one view.
Skills & TechKey Resources
Technically fluent end to end, with enough depth to shape the architecture and steer delivery across low-code and engineering teams.
- A decade inside real enterprise process: architecture and security judgment that doesn't come from a prompt.
- Azure · Power Platform · Fabric · Azure SQL serverless · Python.
- Power BI · semantic models · DAX · row-level security.
- Infrastructure as Code · Logic Apps · Container Apps · Dataverse.
- Continuous learning across cloud, data, and AI tooling, sharpening the human-plus-AI workflow.
SummaryValue Proposition
I find the manual process everyone has accepted as inevitable, and make it disappear. I shape the architecture, the data model, and the security, drive it into production, and stay accountable there.
My path ran from data analyst, to metric architect for a $99B business line, to data platform owner, to end-to-end owner of production automation used by operations, compliance, and digital safety teams.
Since 2025, AI has been a genuine collaborator in that work: I use it daily across architecture, delivery, and documentation, and mentor engineers on AI-assisted delivery.
Collaboration & DomainsKey Partners · Customer Segments
Who I work with
- AI as a daily collaborator across architecture, delivery, and documentation.
- Operations, Compliance & Digital Safety leadership.
- Engineers I mentor on AI-assisted delivery.
Who I build for
- Government regulatory: automated reporting at 99.45% SLA.
- Operations & Compliance: Federal / Non-Federal data isolation.
- Digital Safety & Finance: case reporting and launch-planning intake.
- Partners: first partner-facing self-serve reporting across a $5.9B scope.
ExperienceKey Activities
- Architect event-driven platforms: inbound triggers → automated parsing, case creation, API reporting.
- Model data: star schemas and Dataverse for reporting and compliance.
- Own the security model: row-level security, Entra ID, Managed Identity, zero secrets.
- Deliver through self-service intake tools, event-driven platforms, and real-time tracking dashboards.
- Own end-to-end and stay accountable in production, backed by 20/20 perfect 5-star demo ratings across six cycles.
- Mentor engineers on AI-assisted delivery.
Impact & Key ResultsBy the numbers
- 2,700+ hours / year of manual work automated away, measured in production, not estimated.
- 99.45% SLA achieved for government regulatory reporting.
- 250+ hours / week returned by the data platform migration; 50% compute cost cut.
- Request turnaround 15 → 7 days after intake redesign.
- Manual regulatory reporting 20% → <1% after automation.
- 20/20 perfect 5-star stakeholder ratings across six demo cycles.
