Data Engineering

AI is only as good as the data feeding it. Entlevin builds the highly scalable, secure, and automated data infrastructure required to power the next generation of enterprise analytics and AI.

Our Data Engineering Services

Cloud Data Warehouse Migration

Migrate restrictive legacy on-premise systems to infinitely scalable cloud architectures on Snowflake or Databricks.

Real-Time Data Pipelines

Build event-driven architectures with Apache Kafka, Spark Streaming, and cloud-native streaming services for real-time intelligence.

Data Quality & Observability

Implement data quality frameworks, automated testing, and end-to-end observability pipelines to ensure your data is always trusted and accurate.

Modern Data Stack

End-to-end pipeline architecture: ingestion, storage, transformation (dbt), and serving for AI and BI APIs.