Analytics and AI fail without dependable data flowing in on time. Our data engineering services design and build scalable pipelines that collect, transform and deliver data from every source into a modern warehouse or lakehouse, in batch or in real time.
Build robust data pipelines and architectures to power analytics and AI. At Prominent AI Services LLP, we deliver data engineering services end to end, from discovery and data preparation to deployment, monitoring and support, so your teams get dependable results quickly and securely.
Build robust data pipelines and architectures to power analytics and AI.
Ideal for: Finance, Logistics, SaaS, E-commerce. We begin by mapping data sources and business questions, then design a scalable architecture, automate data quality checks and deliver analysis and dashboards in short iterations with business users involved throughout.
Common questions about our Data Engineering services.
We build on Azure Data Factory, Synapse, Microsoft Fabric, AWS Glue, Redshift, Snowflake and Databricks, depending on your cloud strategy.
Yes. We implement streaming with Kafka, Event Hubs and Kinesis for use cases such as fraud alerts, IoT telemetry and live dashboards.
Automated testing, data quality checks, alerting and orchestration with tools like Airflow keep pipelines observable and resilient.
