/ Data Engineering and BI

Disconnected Systems lead to
Chaos. We fix that.

View our offerings

Building enterprise integrations on Azure that connect your ERP, CRM, HR, and business systems into a coherent digital ecosystem through our software integration services.

Trusted by

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/ CHALLENGES

What disconnected systems
Actually Cost.

Data Duplication

Same data across systems, inconsistent and re-entered, constant mismatches.

Reconciliation Drain

Conflicting records force manual fixes and drain time.

Slow Data Flow

Critical updates take hours or overnight to sync.

Brittle Integrations

Point-to-point links break with any change.

BERP Complexity

Far more Integration work than estimated in Dynamics 365 / SAP rollouts.

/ Our offerings

Enterprise software integration services on
Azure, from Architecture Through to Operations

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Integration Architecture

We define the right architecture before implementation -whether hub-and-spoke, API-led, event-driven, or hybrid -so that your integrations remain scalable as you grow.

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Azure Integration Services

We use Azure API Management, Logic Apps, Service Bus, Event Grid, and Functions to connect systems, automate workflows, and enable reliable data exchange.

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ERP and CRM Integration

We integrate Dynamics 365, SAP, Oracle, and other core platforms with eCommerce, HR, and finance systems to unify data and processes across the organization.

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API Platform

Design and manage APIs using Azure API Management with full lifecycle governance -security, throttling, versioning, analytics, and developer access.

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Event-Driven Integration

We replace batch processing with event-based architecture so your systems react instantly to changes in orders, inventory, and customer data.

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Legacy Systems Integration

Seamlessly integrate your legacy systems into your modern architecture without needing a full replacement, using messaging, file transfer, and custom adapters.

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Integration Monitoring

Monitor all your integrations in one place with dashboards, alerts, and operational tools to resolve issues proactively and ensure smooth business operations.

/ Our Approach

How an integration services engagement
Actually Works:

Discover

Map your integration landscape -systems, data flows, business events, and existing manual processes.

step-01

Design

Define integration patterns, API contracts, error handling, and the target architecture.

step-02

Build

Develop integrations in sprints with end-to-end testing at each stage.

step-03

Test

Validate data accuracy, error handling, retry behavior, and performance under realistic load.

step-04

Operate

Hand over with monitoring dashboards, alerting configuration, and runbooks.

step-05
/ WHY MASHIRA

Why Clients Choose Us, and Stay

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Certified Microsoft Solutions Partner with Azure specialization

Mashira
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Deep experience across ERP, CRM, HR, and custom system integrations

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Architecture-first approach -we design for scale and maintainability, not just delivery

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End-to-end ownership from design, build, test to monitor and support

/ WHO THIS IS FOR

See if this is the right fit for your Team

This is for you if ...

  • Your teams spend meaningful time manually moving data between systems that should be connected
  • You're implementing or have recently implemented an ERP or CRM and need to connect it to surrounding systems
  • Your existing integrations are undocumented, unmonitored, or one system upgrade away from breaking
  • You need real-time data flow between systems rather than overnight batch synchronization
  • You're building a new application or portal that needs to connect to enterprise backend systems

This may not be the best fit if…

  • Your primary need is a data pipeline for analytics rather than operational system integration -our Data Engineering practice is the right starting point
  • You need a single, simple automation between two cloud tools -Power Automate may be sufficient without a full integration architecture engagement
/ FAQ

Your questions, answered

Integration connects operational systems so they share data in real time -for example, an order placed in one system triggers updates in another. Data engineering moves data into a platform for analysis, typically in batches. Many organizations need both, and we design them to work together rather than in isolation.

Legacy systems without modern APIs can be connected using message queues, file-based exchange, SFTP, or custom adapters built on Azure Functions. We've integrated with most major on-premise ERP and database platforms and design around what the system can actually support rather than what would be ideal.

At minimum: alerting when a message fails or a process errors, dashboards showing throughput and error rates, automated retry logic for transient failures, and dead-letter queues for messages that can't be processed automatically. We configure this as standard in our software integration services engagements.

Integration sits between the two. Our ERP Implementation practice frequently involves integration work to connect Dynamics 365 or other platforms to surrounding systems. Our Data Engineering practice relies on integration patterns to ingest operational data into the analytics platform. When all three practices are involved, the architecture is designed as a whole rather than as three separate decisions.