Productized Consulting

Turn Your Data Into an AI-Ready Cloud Platform

Productized consulting for AI-ready audits, Data + AI pipeline sprints, and monthly cloud data support.

Pipeline Rescue

Fix broken Airflow DAGs, dbt models, SQL, PySpark jobs, ingestion failures, and unreliable workflows.

AI-Ready Data Stack Audit

Review AWS/Azure, Databricks, Snowflake, Fabric, costs, data quality, governance, and AI readiness with a prioritized roadmap.

Data + AI Pipeline Build Sprint

Build or repair one cloud pipeline for analytics, search, RAG, or AI-ready applications.

Cost & Performance Optimization

Reduce Snowflake warehouse spend, Databricks cluster waste, slow queries, and inefficient pipeline runs.

RAG & AI-Ready Data Foundation

Prepare clean, governed, modeled data for dashboards, vector search, RAG, and AI workflows.

Monthly Engineering Support

Recurring help for architecture decisions, debugging, reviews, delivery support, and team guidance.

How We Work

1

Diagnose

Understand the system, failure, goal, and business constraint

2

Prioritize

Separate urgent fixes from architecture improvements

3

Execute

Debug, design, build, or review the work with clear ownership

4

Handoff

Deliver notes, diagrams, fix lists, and next steps

Why Work With Us

  • 15+ years of production data engineering experience
  • Hands-on implementation, not just advice
  • Modern tech stack: Airflow, DBT, Databricks, Snowflake
  • Clear communication and documentation
  • Knowledge transfer to your team
  • Flexible engagement models
# Your AI-ready data platform
platform = DataCloud(
cloud="AWS / Azure",
lakehouse="Databricks / Fabric",
warehouse="Snowflake",
ai_ready="RAG + Governance",
status="Production Ready"
)

Ready to Start a Project?

Tell us what is broken, unclear, slow, expensive, or missing. We will recommend the smallest useful engagement.