We design and deliver mission-critical analytics architectures on Databricks, Snowflake, and Azure — powered by dbt, medallion lakehouse patterns, and AI-assisted engineering. Your data foundation, built right the first time.
From strategy to production, we architect and deliver the full data platform — so your analytics teams can focus on insights, not plumbing.
Greenfield and modernization projects on Databricks and Snowflake. Medallion architecture (Bronze/Silver/Gold), Delta Lake, lakehouse patterns, and cloud-native ELT using dbt Cloud — designed for scale, governance, and long-term maintainability.
Accelerate pipeline delivery using Databricks Assistant, Snowflake Copilot, GitHub Copilot, and LLM-native workflows for SQL generation, auto-documentation, and data quality anomaly detection.
Migrate legacy pipelines (IICS, Informatica, Redshift, stored procedures) to modern dbt + Databricks architectures. Python automation converts hundreds of Oracle stored procedures with measurable performance gains.
Establish governed data lakes with end-to-end lineage, metadata standards, Master Data Management (MDM), Reference Data Management, and data quality frameworks using Informatica IICS, Collibra, Alation, and Purview.
Deliver trusted, curated semantic layers and pre-aggregated models that empower finance analysts, business teams, and leadership to self-serve without reinventing the wheel — via Power BI, Tableau, Qlik, Domo, or Looker.
Scale your internal teams rapidly. Onboarding checklists, how-to guides, Terraform deployment patterns, and hands-on mentorship proven across 140+ developers and 20 business teams at Fortune 500 companies.
A comprehensive technology portfolio built through 15+ years of enterprise delivery across dozens of industries and platforms.
Real results delivered for real organizations. Every engagement is measured against business outcomes, not just technical deliverables.
Migrated data pipelines from IICS and Redshift to dbt Cloud and Databricks. Mentored 140 developers and 20 business teams. Published ServiceNow dbt onboarding checklists and how-to guides. Leveraged Terraform for dbt project deployments across all development teams.
Implemented 25 dbt projects end-to-end. Mentored 12 consultants in dbt, Snowflake, Bitbucket, and Airflow/Astronomer. Implemented Medallion architecture layers aligned to dbt pipeline structures and automated data testing and validation.
Migrated Python notebooks to dbt on Databricks. Reduced daily pipeline processing time from 4 hours to 30 minutes — an 87.5% improvement in throughput and observability.
Managed $1.5M project as simultaneous project manager and data engineer. Developed and implemented a governed data lake using Azure Synapse Analytics and Power BI to deliver departmental reporting and improve municipal outreach to 100K+ constituents.
Coordinated $185K data management centralization project. Deployed MDM and Data Quality assets using Informatica IICS. Created data governance solutions with Azure Master Data Management and Reference Data Management.
Reduced product delivery costs by ~80%. Implemented customer-facing analytics solution on AWS using data pipelines, QuickSight, and RDS. Delivered measurable ROI within the engagement timeline.
We specialize in engagements where the data platform is mission-critical — and where getting it right the first time matters.
Financial, billing, and time-expense analytics built on Databricks or Snowflake. Greenfield lakehouse builds with executive-level trust, financial reconciliation rigor, and integration with systems like Elite 3E and HRIS.
Pipeline architecture for pharma R&D, clinical analytics, and payer/provider data. Proven delivery for Vertex Pharmaceuticals, Amylin, and Mint Dentistry across cloud-native architectures.
Enterprise-scale platforms for forecasting, performance analytics, and regulatory reporting. Delivered for New York Life, Oppenheimer Funds, Janus Funds, and CoBank.
Platform modernization, data mesh initiatives, DataOps CI/CD, and developer enablement at scale. Experience managing $2.5M+ engagements across 33+ enterprise clients.
Cloud Analytics Consulting was founded to bring Fortune 500-grade data platform expertise to organizations that need it most — from hypergrowth startups to global enterprises making high-stakes investments in their analytics infrastructure.
With 15+ years leading data and analytics initiatives, Stan Kidd combines deep technical depth with the business acumen to translate platform decisions into measurable outcomes. He has served as the hands-on architect, project manager, and developer mentor simultaneously — managing $1.5M+ engagements while staying close to the code.
Stan is fluent in modern AI-assisted engineering: actively using Databricks Assistant, Snowflake Copilot, and LLM-native workflows to accelerate pipeline delivery without cutting corners on quality, governance, or documentation. He's not just watching where the space is heading — he's shaping how teams work within it.
"The best analytics platforms aren't just technically excellent — they're trusted. I build for trust: in the data, in the architecture, and in the teams that depend on both." — Stan Kidd, Founder
No account managers or junior resources — Stan leads every engagement directly. When we discuss architecture, you get 15+ years of hands-on experience, not a playbook.
We measure success by your metrics — pipeline runtime, analyst productivity, data trust, and cost reduction — not deliverable volume.
Whether you're starting from scratch or modernizing a mature stack, our experience spans $185K focused projects to $4.8M delivery pipelines.
We actively use AI-assisted tools in production — to ship faster, document better, and surface issues earlier — not as a marketing bullet point.
Whether you're architecting a new lakehouse, modernizing legacy pipelines, or scaling your team's dbt capabilities — let's have a direct conversation about your challenges and what's possible.