Data engineering services that make your data AI-ready
Your data platform was built to store information, not act on it. We design and build unified, governed pipelines on Google Cloud with BigQuery, Dataflow and Looker.
What do data engineering services do?
Data engineering builds the pipelines that collect data from your systems, clean and model it, and land it where people and applications can use it. On Google Cloud that usually means Dataflow for processing, BigQuery as the warehouse and Looker for analysis, with quality checks and governance throughout.
One data foundation for every workload
Intelligent applications
Low-latency pipelines on BigQuery and Dataflow that applications can query and act on.
Faster data science
Query, model and analyze in one place with BigQuery and Looker.
Data AI agents can trust
Unified, governed pipelines instead of fragmented sources.
Real-time insight
Streaming pipelines surface fraud signals, customer triggers and operational events as they happen.
Unstructured data
PDFs, logs, images and audio processed so the signal reaches your models.
Governance
Quality checks, access controls and lineage from the start.
From fragmented data to AI-ready pipelines
01
Assess
Data sources, pipelines and quality gaps mapped.
02
Design
Ingestion, transformation, storage and governance on BigQuery, Dataflow and Looker.
03
Build
ETL and ELT pipelines with automated testing and monitoring.
04
Operate
CloudCare keeps pipelines running and costs controlled, with spend visible in Zenta Pulse.
Common questions
What tools do you use?
Mostly Google Cloud: Dataflow and Pub/Sub for processing, BigQuery as the warehouse, and Looker or Looker Studio for analysis.
Batch or real-time?
Both. Many reports are fine in batch; fraud signals, customer triggers and operational alerts benefit from streaming.
Can you work with unstructured data?
Yes. We build pipelines for PDFs, logs, images and audio so that data reaches analytics and AI.
Who runs the pipelines afterwards?
Your team, or ours through CloudCare, with monitoring and cost control.
