BigQuery & Data Warehousing
Turn scattered data into a warehouse your whole company trusts.
Who it is for
Companies consolidating data from SaaS tools, databases, and spreadsheets; teams migrating from Redshift, Snowflake, SQL Server, or on-prem; and anyone whose BigQuery bill surprised them.
BigQuery is the fastest way to a serverless, AI-ready warehouse, and the easiest place to accidentally spend money. We design models that answer business questions, pipelines that stay fresh, and cost controls that keep finance happy.
Deliverables
Warehouse architecture and modeling
Layered designs (raw, staged, marts) with naming standards and documentation your analysts can navigate.
ELT pipelines
Datastream, Dataflow, Fivetran, Airbyte, and dbt pipelines with tests, lineage, and alerting.
Cost and performance tuning
Partitioning, clustering, materialized views, slot reservations, and query rewrites, often halving spend.
Migrations to BigQuery
Schema translation, data validation, and parallel-run cutovers from legacy warehouses.
BigQuery ML and Gemini in BigQuery
Forecasting, classification, and LLM functions run where the data already lives.
Governance and security
Row- and column-level security, policy tags, data catalog, and audit logging.
Engagement approach
Audit
Inventory sources, current models, query patterns, and spend.
Model
Agree on the metrics that matter and design the warehouse around them.
Pipeline
Build tested, monitored pipelines and backfill history.
Enable
Train analysts, hand over documentation, and set cost guardrails.
What you walk away with
- One governed source of truth for reporting and AI
- Fresh, tested data with clear ownership
- BigQuery spend that is understood and controlled
- A foundation ready for BI, ML, and LLM workloads
- BigQuery
- dbt
- Dataflow
- Datastream
- Dataform
- Fivetran
- Looker
- BigQuery ML
Common questions
Our data is in Salesforce, HubSpot, QuickBooks, and Google Sheets. Can you bring it together?
Yes. Managed connectors handle most SaaS sources in days, and we build custom pipelines where needed.
Can you reduce our BigQuery bill without a rebuild?
Usually. A cost audit typically finds unpartitioned scans, dashboard queries running on schedules nobody needs, and reservation mismatches. Fixes often land in the first two weeks.
Do you replace our existing BI tool?
Not necessarily. We design the warehouse so Looker, Power BI, Tableau, or Looker Studio all work well on top of it.
Often combined with
Data & Analytics / BI
KPI definition, dashboards, semantic layers, and self-service analytics that people actually use.
Learn moreGoogle Cloud Architecture
Landing zones, migrations, Kubernetes and serverless platforms, Terraform, and FinOps on Google Cloud.
Learn moreAI & Agentic AI Solutions
RAG assistants, LLM applications, and autonomous agents built on your data and wired into your real workflows.
Learn moreTalk to us about BigQuery & Data Warehousing
A 30-minute call is enough to tell whether this is the right engagement and what it would take.