AI-Ready Data Platform & Pipeline Setup by Drake Damon

AI-Ready Data Platform & Pipeline Setup

Drake Damon

Contact for pricing

About this service

Summary

I design and build production-grade data pipelines and cloud warehouses (Snowflake, dbt, Dagster, Databricks) that make your data reliable, automated, and ready for analytics or AI. Instead of dashboards built on messy CSVs, you get clean modeled data, quality checks, CI/CD, and a documented architecture. What makes me unique: I deliver the full stack pipelines, modeling, API access, and dashboards so your data becomes usable, not just collected.

FAQs

Q: Do you work with our existing BI tools?
Yes I connect to Looker Studio, Power BI, Tableau, or your internal apps.
Can you automate our messy spreadsheets?
Absolutely. Many clients start with manual CSV workflows; I turn them into automated pipelines.
Can you build dashboards on top of the pipeline?
Yes — optional add-on: Next.js dashboard or Power BI report built on your curated data layer.
Do you support ongoing maintenance?
Yes monthly retainer available for monitoring + enhancements.

What's included

Production-Ready Data Pipeline (ETL/ELT)
Configurable pipeline pulling data from source → raw → modeled layers with automation and logging.
Data Warehouse / Lakehouse Setup (Snowflake / BigQuery / Redshift)
Cloud warehouse configured with schemas, permissions, storage retention, and performance settings.
dbt Modeling + Documentation
Models with SCD Type 2 history, testing, documentation, and lineage graph.
Quality + Monitoring (Great Expectations / Dagster Checks)
GitHub Actions configured for automated testing, version control, and safe deployments.
Data API or Access Layer (FastAPI / REST)
API endpoints or direct warehouse access so applications/dashboards can consume the data.
Architecture Diagram + Knowledge Transfer
Diagrams, documentation, and final walkthrough to enable smooth handoff to your team.

Skills and tools

Data Analyst

Database Engineer

Fullstack Engineer