Data Integration & Ingestion

Connect your systems and accelerate data flow. We build robust ETL/ELT pipelines and real-time streaming architectures that ingest data from any source, transforming it into clean, usable assets for your applications and analytics teams.
Data has velocity. We capture it. Whether batch processing nightly reports or streaming IoT events in real-time, our integration services ensure your data moves reliably. We handle the complexity of APIs, transformation logic, and error handling.

ETL/ELT Pipelines

Build robust batch and micro-batch pipelines that extract data, handling complex transformations and validation to load clean data into warehouses.

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Real-Time & Streaming Data

Architect event-driven pipelines using Kafka or Event Hubs to ingest real-time streams from apps and devices, powering live dashboards and alerts.

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API & Event-Driven Integration

Decouple systems with modern API-led integration patterns, utilizing webhooks and event grids to ensure seamless data exchange between applications.

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ETL/ELT Pipelines

We engineer the data supply chain. We replace fragile scripts with enterprise-grade pipelines. Utilizing modern ELT patterns, we load data fast and transform it inside the cloud warehouse, ensuring scalability and traceability.
  • Batch and micro-batch data movement across systems.
  • ELT patterns leveraging modern cloud data warehouses.
  • Data transformation, validation and error handling.

Real-Time & Streaming Data

We process data in flight. For time-critical insights, batch is too slow. We implement streaming architectures that ingest events instantly. This allows you to trigger alerts or update dashboards the moment a sensor detects an issue.
  • Streaming architectures using Kafka/Event Hubs/Pub/Sub/Kinesis.
  • Real-time event ingestion from applications and devices.
  • Stream processing for alerts, dashboards and micro-services.

Real-Time & Streaming Data

We process data in flight. For time-critical insights, batch is too slow. We implement streaming architectures that ingest events instantly. This allows you to trigger alerts or update dashboards the moment a sensor detects an issue.
  • Streaming architectures using Kafka/Event Hubs/Pub/Sub/Kinesis.
  • Real-time event ingestion from applications and devices.
  • Stream processing for alerts, dashboards and micro-services.

API & Event-Driven Integration

We connect the application landscape. We move away from point-to-point spaghetti code. We design API-led and event-driven architectures. When a status changes in one app, it publishes an event that others consume, decoupling your IT.
  • Data integration via APIs and webhooks.
  • Event-driven patterns for decoupled systems.
  • Integration with existing enterprise ESB/iPaaS where relevant.
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