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DATA ENGINEERING

The silent engine behind your reporting.

Resilient data infrastructure doesn’t happen by accident. We build the pipelines that handle your scaling pains so you can focus on the insights.

Uptime

Sound familiar?

Brittle Pipelines

Data syncs break every other week.

Scaling Issues

Queries take hours to load.

Siloed Information

Valuable customer data is trapped in legacy systems.

How DataVines handles it

ELT Pipeline Construction

We build modern ELT pipelines that scale infinitely.

Warehouse Optimization

We optimize table schemas to reduce query time and cost.

API Integrations

We connect to any REST or GraphQL API to pull your required data.

Data Quality Monitoring

We implement automated testing to catch bad data before it hits production.

Engineering execution

01
Week 1

Architecture Design

Designing the optimal cloud infrastructure.

02
Week 2

Historical Load

Migrating years of historical data into the new warehouse.

03
Week 3

Pipeline Automation

Setting up automated daily/hourly syncs.

04
Week 4

Validation

Rigorous testing against source systems.

What you receive

  • Cloud Data Warehouse Setup
  • Automated Pipelines
  • Data Quality Tests
  • Infrastructure Documentation

Powered by best-in-class infrastructure

We utilize the most robust and modern data stack available, integrating seamlessly into your existing environment.

Fivetran
dbt
Python

Built for scale

Rows processed

"Before DataVines, calculating our true blended CPA took a data analyst three hours every Monday. Now, it updates every 15 minutes automatically."
Daniel Krauss
Daniel Krauss

CTO, Analytics Firm

Frequently Asked Questions

Ready to fortify your data infrastructure?

Book a discovery call to discuss your engineering needs.

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