# Aeolus Data Solutions

> Boutique Data Engineering Consultancy

- Canonical listing: https://agencysource.com/agencies/aeolus-data-solutions
- Categories: [Custom Software Development](https://agencysource.com/categories/custom-software-development), [Data & Analytics](https://agencysource.com/categories/data-analytics), [AI Consulting & Strategy](https://agencysource.com/categories/ai-consulting), [AI & LLM Development](https://agencysource.com/categories/ai-development)
- Services: BI & Big Data Consulting & SI, AI Consulting, AI Development, Custom Software Development, Generative AI
- Team size: 2 - 9
- Hourly rate: $200 - $300 / hr
- Minimum project: $25,000+
- Founded: 2024
- Website: https://aeolusdata.solutions
- Listing: Not yet claimed
- Agency Source rating: no Agency Source reviews yet

## About

Aeolus Data Solutions is a boutique, founder-led data engineering consultancy and advisory practice built for startups and scale-ups across North America.

The Core Thesis"AI and analytics initiatives rarely fail on the model — they fail on the data pipeline underneath it."

Aeolus brings Big Tech engineering discipline (CI/CD for data, automated testing, infrastructure-as-code, and versioned pipelines) to high-growth teams that are scaling faster than their internal data infrastructure.

Key Differentiators

Senior-Only Delivery: You work directly with senior founders and practitioners (with 20+ combined years of engineering experience across companies like Meta, Spotify, Amazon, Databricks, and Microsoft). There are no junior benches, no account managers, and no handoffs mid-project.

Production-Grade Rigor: Replacing fragile, duct-taped scripts with resilient, tested batch & streaming platforms (dbt, Snowflake, Databricks, Airflow, Dagster, Terraform).

AI-Ready Focus: Engineering the semantic layers, data contracts, clean lineage, and ingestion pipelines required for reliable RAG and enterprise AI applications.

Core Service Offerings

Data & AI-Readiness Audit: A fixed-fee, low-risk diagnostic of existing pipelines, schemas, and warehouses that delivers a build-ready technical blueprint.

AI-Ready Foundations: Semantic layers, metadata catalogs, and validated ingestion workflows for reliable model context.

Production DataOps: Modern warehouse/lakehouse builds, automated schema testing, CI/CD, and pipeline reliability.

Fractional Data Leadership: Senior data architecture and strategic direction a few days a week without the overhead of a full-time executive hire.

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