Data Engineering
Data Pipeline Engineering
Scalable pipelines with Dataflow and BigQuery for real-time and batch analytics at any scale.
Overview
We engineer data pipelines that move, transform, and deliver data reliably at any scale. Whether you need real-time event streaming, batch ETL processing, or unified analytics across multiple sources, our pipelines are built on Google Cloud's fully managed infrastructure — Dataflow, BigQuery, Pub/Sub — so you get enterprise-grade reliability without the infrastructure overhead.
Key Capabilities
Real-Time Streaming
Event-driven data pipelines using Dataflow and Pub/Sub for processing millions of events per second with exactly-once semantics.
Batch ETL
Scheduled data transformation pipelines that extract, clean, and load data from diverse sources into BigQuery for analytics and reporting.
Data Warehouse Design
BigQuery data warehouse architectures with optimized partitioning, clustering, and materialized views for fast, cost-effective analytics.
Pipeline Orchestration
Managed workflow orchestration with Cloud Composer (Apache Airflow) for scheduling, monitoring, and alerting across complex data pipelines.
Google Cloud Tools
Dataflow
BigQuery
Pub/Sub
Cloud Composer
Cloud Storage
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