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Data Engineering & Infrastructure

AI is only as good as the data behind it. Data Engineering & Infrastructure ensures your data is collected, stored, processed, and accessible in ways that support both current operations and future AI capabilities. Vectrel builds data pipelines, warehouses, and integration layers that connect your disparate data sources into a unified, queryable system. This service is often the foundation that makes every other Vectrel service possible.

Deliverables

What's included

Data architecture design
ETL/ELT pipeline development
Data warehouse or lake implementation
API integration layer development
Data quality and validation frameworks
Migration from legacy systems
Documentation and data dictionaries

Use Cases

How clients use this service

Unified Client Data Platform

A financial services firm had data spread across three CRMs and dozens of spreadsheets. We built a unified pipeline that consolidated all sources into a single warehouse, enabling real-time reporting.

Legacy System Migration

A manufacturing company needed to migrate 15 years of production data from an on-premise system to a modern cloud data platform without disrupting operations.

Who It's For

Businesses with data spread across multiple systems that need organization before AI integration.

Technologies

Tech stack

PythonSQLPostgreSQLBigQuerySnowflakeApache AirflowdbtAWSAzure

Related Services

Often combined with

Custom AI Development

AI systems engineered for your specific use case, built to run in your infrastructure.

Learn more

AI Training & Fine-Tuning

Models trained on your data, optimized for your specific domain and use case.

Learn more

Workflow Automation

Turn repetitive, manual processes into automated workflows that run on their own.

Learn more

Start a Data Engineering project

Every project starts with a conversation. Tell us what you're working on and we'll take it from there.

Book a Discovery Call
Vectrel

Custom AI integrations built into your existing business infrastructure. From strategy to deployment.

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