Data Engineering & Analytics

Modern data stacks: warehouses, ELT pipelines, dashboards, and AI-ready data foundations.

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Service overview

Data Engineering & Analytics

We build the data layer that makes leadership decisions possible: cloud warehouses, ELT pipelines, dbt transforms, BI dashboards, and the governance to keep it trustworthy. Snowflake, BigQuery, Postgres, Zoho Analytics — we pick the stack that fits your team.

From a 6-week dbt + Looker rollout for a SaaS to a full Snowflake + Fivetran + Tableau platform for a 1000-person enterprise, our pods deliver production data infra that scales with your business.

Snowflake, BigQuery, Postgres

Right-sized warehouse for your data volume, query patterns, and budget.

Snowflake, BigQuery, Postgres

Right-sized warehouse for your data volume, query patterns, and budget.

Fivetran, Airbyte, custom ELT

300+ source connectors. Custom Python connectors when off-the-shelf doesn't fit.

Fivetran, Airbyte, custom ELT

300+ source connectors. Custom Python connectors when off-the-shelf doesn't fit.

dbt transforms + tests

Version-controlled SQL, automated tests, documented lineage from raw to gold.

dbt transforms + tests

Version-controlled SQL, automated tests, documented lineage from raw to gold.

Looker, Tableau, Zoho Analytics

Production dashboards that load fast and stay trustworthy.

Looker, Tableau, Zoho Analytics

Production dashboards that load fast and stay trustworthy.

What's included

What’s included

Category

Details

What's included

Warehouse setup (Snowflake/BigQuery/Postgres)
ELT pipelines (Fivetran, Airbyte, custom)
dbt models with tests + docs
BI dashboards (Looker/Tableau/Zoho)
Data governance + access controls

Our methodology

Week 1-2: Source audit + warehouse selection
Week 3-5: ELT setup + raw layer
Week 6-8: dbt transforms + tests
Week 9-10: Dashboards + training
Week 11-12: Handover + documentation

What you'll own

Production warehouse with sources connected
dbt repo with 30-100+ tested models
5-15 leadership + ops dashboards
Documented lineage + data dictionary
Runbooks for adding new sources

Simple & Transparent

Our proven workflow

Download brochure

Step 1

Discovery & scoping

Step 2

Build & implementation

Step 3

QA, launch & support

Common questions

Frequently asked questions

Snowflake vs BigQuery — which should we pick?

BigQuery if you're already on GCP and want pay-per-query. Snowflake if you want multi-cloud or expect heavy concurrency. Postgres for small teams under 100GB.

Can you integrate with our Zoho data?

Do you handle compliance (HIPAA, SOC2)?

Will my BI team maintain it after launch?

How fast can we get first dashboards live?