Senior Vietnamese Power Platform Engineers, Past the Drag-and-Drop Ceiling
Power Apps, Power Automate, Dataverse, Power BI, Copilot Studio. From $1,800/engineer/month, 2-week paid trial.
Five capability groups covering the work we actually do inside Microsoft tenants - from canvas formulas and Dataverse plugins to Copilot Studio agents and tenant-wide ALM.
Power Platform hits a wall the moment a citizen developer needs a PCF component, a C# plugin, or a real CI/CD pipeline. That's where we come in. We plug into your Microsoft 365 tenant with correct DLP, environment strategy, and solutions-based ALM - and ship the apps, flows, and models your team can't.
Past the drag-and-drop ceiling: Power Apps, Dataverse, ALM, and Microsoft 365 native.
Canvas apps for field workflows and model-driven apps for back-office CRUD - with the formulas, components, and performance tuning that stop them from falling over at 500 users.
Cloud flows for everything API-reachable, desktop flows (Power Automate Desktop) for legacy UI automation, and the hybrid bridges between them.
Dataverse isn't SharePoint. Proper entity modeling, roles, and plugins are what separates a working app from 'why does this take 40 seconds to load'.
Report builds that stay fast past 10M rows and don't collapse under row-level security.
The parts that keep Center-of-Excellence teams happy - so your tenant doesn't turn into 3,000 orphaned flows owned by people who left.
Thirty production patterns Sapota's team has documented from real engagements, organized into nine sections covering Dataverse modeling, plugin extensibility, Canvas apps, Power Automate, Power BI embed, security, and ALM.
Role-based credentials refreshed every Microsoft release cycle. Not a partner-badge wall, these are certifications the engineers on your project actually hold.
Canvas formulas, Power Fx, custom connectors, PCF components, and C# plugins - we go past what a citizen developer can ship on their own.
Teams, SharePoint, Outlook, OneDrive, Entra ID - we wire Power Platform into your tenant's identity, governance, and DLP policies correctly.
Solutions, managed vs unmanaged, environments, Azure DevOps or GitHub with Power Platform Build Tools - not 'edit in production'.
Modeled relational tables, business rules, calculated columns, role-based security - not SharePoint lists pretending to be a database.
Canvas apps, model-driven apps, Power Fx, PCF code components, embedded Teams apps, Power Apps Portals / Power Pages.
Cloud flows, desktop flows (RPA), business process flows, approval flows, AI Builder, custom connectors with OpenAPI.
Tables, relationships, business rules, roles, Dataverse plugins in C#, Power BI datasets, DAX, paginated reports, RLS/OLS.
Copilot Studio agents, topics, knowledge sources, generative actions, AI Builder prompts, document processing, form processing.
Dataverse, Canvas Apps, Model-Driven Apps, Power Automate production patterns and real-world gotchas.
May 24, 2026
Dataverse plugins have two logging destinations: the built-in PluginTraceLog table and Azure Application Insights via the ILogger interface. Neither on its own is enough in production. The combination, wired correctly, is what lets us debug plugin failures in minutes instead of hours.
Read MoreMay 24, 2026
A Power BI report embedded inside a model-driven app so users see only their data. The feature works; the RLS configuration to make it work reliably across role changes and environment migrations is where teams get stuck.
Read MoreMay 22, 2026
BPFs guide users through a multi-stage process with a visual bar across the top of the record. They shine for disciplined, repetitive processes. They become a drag on projects where the process itself keeps changing.
Read MorePaid trial in your tenant, your backlog, your environment strategy. If it works, we convert to a monthly engagement.
Most teams come to Power Platform expecting "low code" and hit the same set of walls within the first quarter: Dataverse polymorphic lookups that bite at scale, plugin pipeline stages that produce surprising side effects, Power Automate flows with concurrency settings the documentation does not explain, canvas apps that ignore delegation rules until production data lands. Our engineers have shipped on the platform since the Common Data Service rename, and the engagement pattern is shaped by those production lessons, not by Microsoft's marketing surface.
The platform-specific patterns are documented in the Power Platform blog category, which collects 30 plus posts on Dataverse modeling, plugin engineering, custom connectors with OAuth2, business rules versus Power Automate versus plugin dispatch decisions, PCF controls with React 18, and the multi-environment ALM patterns that keep dev, test, and production in sync. The Complete Power Platform Engineering Guide pillar post is the top-down read if you prefer a structured tour rather than a search-and-browse.
Engagement composition: a typical Power Platform project runs with one to three engineers depending on scope. For small internal tooling builds, one senior engineer can ship end to end (data model, app, automation, ALM pipeline). For multi-environment enterprise rollouts, the team adds a Dataverse architect on data modeling and an ALM lead on the deployment pipeline. Either way the engineers are named in the proposal, not "TBD" headcount placeholders. The two-week trial uses the same engineers who continue the project.
Adjacent services Sapota often runs alongside Power Platform work: Dynamics 365 F&O dual-write integrations (see the Dynamics 365 blog category), custom Azure Functions and Logic Apps when business logic does not fit in a plugin or Power Automate, and AI Copilot Studio extensions for the new agent-style automation patterns. To scope a Power Platform engagement, reach out via the contact page; we usually reply within one business day.
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