Client Success Stories

Enterprise data platform solutions delivering measurable results across diverse industries. Detailed case studies for architects, data leaders, and executives.

Financial Services

Enterprise data governance and platform modernization for insurance and financial institutions

Fortune 100 Insurance Company Lead Architect 6 months

Unity Catalog Migration

Challenge

Fragmented governance across multiple Databricks workspaces creating compliance risk and operational inefficiency.

  • No centralized data discovery
  • Inconsistent permission models
  • No unified audit trail
  • Insurance regulatory compliance risk

Solution

Phased Unity Catalog migration with zero-downtime architecture and automated permission translation.

Assessment

Inventory HMS catalogs across all workspaces

Architecture

Design UC hierarchy and permission model

Migration

Execute migration with minimal downtime

Governance

Establish data taxonomy and stewardship

Technologies: DatabricksUnity CatalogTerraformPythonDelta LakeAzure Data Lake

Results

100%
workspace migration
0
production incidents
85%
faster discovery
Full
regulatory compliance

Architecture Highlights

  • Multi-workspace metastore design
  • External location hierarchy
  • Automated credential rotation
  • Cross-workspace data sharing

Healthcare & Life Sciences

AI-powered solutions and data platforms for healthcare payers and academic medical centers

Fortune 100 Health Payer Lead Architect 5 months

Enterprise RAG Pipeline

Challenge

No AI infrastructure for information retrieval across massive policy and clinical document corpus.

  • Hours searching policy docs
  • Greenfield AI environment
  • HIPAA compliance requirements
  • Need for attributable responses

Solution

End-to-end RAG pipeline using Mosaic AI with DABs deployment.

Document Processing

Ingest and parse policy and clinical documents

Vector Infrastructure

Build vector search index with embeddings

RAG Pipeline

Implement retrieval-augmented generation flow

Production Deployment

Deploy with DABs for CI/CD and monitoring

Technologies: DatabricksMosaic AIVector SearchDABsMLflowPython

Results

10x
faster retrieval
95%+
accuracy
HIPAA
compliant
Foundation
for AI expansion

Architecture Highlights

  • Semantic chunking (512-token windows)
  • Hybrid retrieval
  • Chain-of-thought prompting
  • MLflow tracking
Penn Medicine Solution Architect 6 months

Healthcare Data Platform

Challenge

Academic medical center needed unified data platform for research and clinical analytics.

  • Research data scattered
  • Complex IRB compliance
  • Cross-study analysis needed
  • Clinical system integration

Solution

Federated data platform architecture enabling secure cross-departmental data sharing.

Platform Design

Design federated architecture with domain ownership

Governance Framework

Implement IRB-compliant access controls

Data Products

Build self-service data products for research teams

Technologies: DatabricksUnity CatalogDelta LakePythonSQL

Results

10x
faster cross-study access
IRB
compliant workflows
500+
datasets cataloged
4
new research initiatives

Architecture Highlights

  • Domain-driven data mesh
  • Automated de-identification
  • Research-specific compute isolation
  • Cross-departmental catalog

Manufacturing & Industrial

IoT data platforms and ML solutions for automotive and chemical manufacturing

Fortune 500 Chemical Manufacturer Data Engineer Lead 6 months

Environmental ML Pipeline

Challenge

Manual monitoring of N2O pollutant removal creating compliance risk.

  • Real-time monitoring required
  • Complex IoT sensor data
  • Predictive alerts needed
  • Dashboard integration needed

Solution

End-to-end ML pipeline for real-time pollutant prediction with automated alerting.

Data Integration

Connect IoT sensors and industrial systems

Feature Engineering

Build real-time feature pipelines

ML Models

Train ensemble models for pollutant prediction

Operationalization

Deploy with automated alerting and dashboards

Technologies: DatabricksApache Sparkscikit-learnSparkMLSeeqPowerBIAzure

Results

Real-time
N2O predictions
100%
compliance maintained
80%
less manual monitoring
Automated
alerting

Architecture Highlights

  • Micro-batch streaming (10-second intervals)
  • Ensemble model
  • Feature store
  • A/B testing framework
Major US Auto Manufacturer Lead Architect Ongoing

IoT Data Platform Migration

Challenge

Legacy on-premises systems preventing real-time analytics and predictive maintenance.

  • Batch processing delays
  • Data silos preventing cross-plant visibility
  • On-prem can't scale
  • Reactive maintenance

Solution

Cloud-native streaming architecture enabling real-time analytics across all plants.

Streaming Architecture

Design real-time ingestion from IoT sensors

Medallion Implementation

Build bronze/silver/gold data layers

Cross-Plant Analytics

Enable unified analytics across manufacturing sites

Predictive Foundation

Establish ML infrastructure for predictive maintenance

Technologies: DatabricksDelta LakeStructured StreamingIoT HubPythonSQL

Results

500K
events/second
40%
less unplanned downtime
Real-time
cross-plant visibility
< 1 min
latency

Architecture Highlights

  • Lambda architecture
  • Time-series optimized Delta tables with Z-ordering
  • Watermark-based exactly-once
  • Auto-scaling compute

Technology & Platform

Open-source tools and enterprise platform enablement

Slalom Global Databricks Business Unit Principal Solution Architect 12 months

Databricks Accelerator Library

Challenge

Sales teams needed rapid, consistent Databricks capability demonstrations.

  • Building demos from scratch each time
  • Inconsistent quality
  • Slow time-to-demo
  • Knowledge silos

Solution

Reusable accelerator library using Databricks Apps for rapid client demonstrations.

Accelerator Framework

Design modular accelerator architecture

Use Case Coverage

Build accelerators across common use cases

Documentation

Create self-service documentation

Enablement

Train sales and delivery teams

Technologies: DatabricksDatabricks AppsUnity CatalogMosaic AIMLflowPython

Results

20+
accelerators built
50%
faster POC delivery
100+
client demos enabled
Standardized
demo patterns

Architecture Highlights

  • Parameterized deployment templates
  • One-click workspace provisioning
  • Pre-built sample datasets
  • Modular component architecture
Open Source / Mementropy Labs Creator Ongoing

Vitrify Governance Engine

Challenge

Enterprise Databricks customers lack automated governance assessment.

  • Manual audits taking hours
  • Point-in-time assessments miss drift
  • No prioritized recommendations
  • No standardized framework

Solution

Open-source assessment engine evaluating Databricks against six Well-Architected pillars.

Core Engine

Build pluggable check architecture

Unity Catalog Analysis

Implement catalog-level governance checks

Reporting

Generate severity-weighted scoring and reports

CI/CD Integration

Enable automated governance in pipelines

Technologies: PythonDatabricks SDKUnity Catalog APIsClick CLIJinja2

Results

6
pillars assessed
100+
governance checks
Minutes
for full assessment
Open source
on GitHub

Architecture Highlights

  • Pluggable check architecture
  • Parallel workspace scanning
  • Severity-weighted scoring
  • Remediation playbook generation

Assessment Pillars

Operational Excellence

IaC coverage, automation gaps, drift detection

Security & Compliance

Permission sprawl, data classification, audit logging

Reliability

SLA coverage, failure modes, recovery testing

Performance

Cluster sizing, query patterns, caching opportunities

Cost Optimization

Waste detection, usage attribution, reservation coverage

Cognitive Observability

AI/ML governance, RAG quality, agent behavior

Pharmaceuticals

Data platforms supporting clinical trials and drug discovery

Madrigal Pharmaceuticals Solution Architect 6 months

Clinical Data Platform

Challenge

Clinical trial data management complexity slowing regulatory submissions.

  • Data scattered across systems
  • Manual regulatory reporting
  • ML for drug discovery needed
  • Complex compliance

Solution

Unified lakehouse platform for clinical data with automated regulatory reporting.

Data Unification

Consolidate clinical trial data sources

Regulatory Automation

Automate SDTM/ADaM transformations

ML Foundation

Build infrastructure for compound screening

Technologies: DatabricksUnity CatalogDelta LakePythonSQL

Results

50%
faster regulatory reporting
15+
clinical datasets unified
3 months
FDA timeline reduction
ML-ready
compound screening

Architecture Highlights

  • CDISC-compliant data model
  • Automated SDTM/ADaM transformations
  • Audit-ready lineage tracking
  • Secure external data sharing
10+
Enterprise Clients
99%
Migration Success Rate
$10M+
Platform Value Delivered
6
Industries Served

What Clients Say

Feedback from data leaders and executives

The Unity Catalog migration was executed flawlessly. Ryan's architecture ensured zero production incidents and our governance posture improved dramatically.
Director of Data Engineering
Fortune 100 Insurance
Their deep Databricks expertise helped us avoid months of trial and error. The RAG pipeline they built is now foundational to our AI strategy.
VP of Data & Analytics
Fortune 100 Health Payer
What sets Ryan apart is the knowledge transfer. Our team is now self-sufficient and confident managing our lakehouse platform.
Chief Data Officer
Manufacturing Enterprise

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