Intelligent Software.
Real Results.

Most ETL pipelines take 4-8 weeks to build and deploy, depending on complexity, data sources, and integration requirements. Simple pipelines with 1-2 data sources can be ready in 2-3 weeks, while complex multi-source enterprise pipelines may take 8-12 weeks. We provide weekly progress updates and deploy in stages for faster time-to-value.

We deploy ETL pipelines on AWS (Amazon Web Services), Google Cloud Platform (GCP), and Microsoft Azure based on your existing infrastructure and requirements. Our pipelines are cloud-agnostic and can be migrated between platforms if needed. We also support on-premise deployments and hybrid cloud architectures.

Yes, we build both real-time streaming pipelines and batch processing workflows. For real-time needs, we use Apache Kafka, AWS Kinesis, Google Pub/Sub, and Apache Flink. For batch processing, we leverage Apache Airflow, AWS Glue, and custom Python schedulers. We can also build hybrid pipelines that combine both approaches.

Yes, we offer 24/7 monitoring, maintenance, and support packages. This includes automated alerting for pipeline failures, performance monitoring, data quality checks, and regular optimization. We also provide monthly reports on pipeline health, data volumes processed, and cost optimization recommendations.

Our ETL pipelines are designed for flexibility. Adding new data sources typically takes 1-2 weeks depending on the source complexity. We document all pipeline logic and provide training so your team can make simple modifications. For major changes, we offer maintenance packages with priority support for quick turnaround times.