AI-Ready Data Platform & Pipeline SetupDrake Damon
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.
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.
FAQs
Yes I connect to Looker Studio, Power BI, Tableau, or your internal apps.
Absolutely. Many clients start with manual CSV workflows; I turn them into automated pipelines.
Yes — optional add-on: Next.js dashboard or Power BI report built on your curated data layer.
Yes monthly retainer available for monitoring + enhancements.
Contact for pricing
Tags
AWS
Databricks
dbt
FastAPI
Snowflake
Data Analyst
Database Engineer
Fullstack Engineer
Service provided by
Drake Damon Tampa, USA
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- Followers
AI-Ready Data Platform & Pipeline SetupDrake Damon
Contact for pricing
Tags
AWS
Databricks
dbt
FastAPI
Snowflake
Data Analyst
Database Engineer
Fullstack Engineer
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.
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.
FAQs
Yes I connect to Looker Studio, Power BI, Tableau, or your internal apps.
Absolutely. Many clients start with manual CSV workflows; I turn them into automated pipelines.
Yes — optional add-on: Next.js dashboard or Power BI report built on your curated data layer.
Yes monthly retainer available for monitoring + enhancements.
Contact for pricing