Modern ELT & Real-Time Data Pipelines
Legacy ETL batch jobs struggle under modern volume and velocity. We architect cloud-native ELT pipelines using Google Cloud Composer (Apache Airflow), Dataflow (Apache Beam), and dbt to deliver fresh, modeled data directly into BigQuery.
Our Data Engineering Stack
Battle-tested tools configured for enterprise scale, reliability, and security.
Orchestration with Cloud Composer
Managed Apache Airflow pipelines with dependency management, automated retries, alerting webhooks, and programmatic DAG generation.
Streaming with Google Dataflow
Serverless stream and batch data processing with Apache Beam. Handle million-event-per-second ingestion with autoscaling worker pools and exactly-once processing guarantees.
Transformations with dbt
Bring software engineering best practices to data modeling. Version-controlled SQL models, automated data quality testing assertions, and auto-generated data lineage graphs.
Automated Data Quality & Profiling
Continuous validation to detect schema drift, missing fields, or anomaly spikes before corrupted data pollutes downstream executive dashboards.
Let's build something transformative together on Google Cloud.
Schedule a complimentary architectural review session with our certified Google Cloud and AI engineering specialists.