// Data Engineering & AI Consultancy
Your Data, Engineered for Growth
Founder-led architecture and engineering for production data platforms, with deep focus on cloud data platforms and Databricks.
› deploy lakehouse --medallion --governed
✓ bronze → silver → gold · tests green
What We Build
Six focused service lines, each grounded in real production experience.
Data Platform Engineering
End-to-end lakehouse and data platform design on Databricks and cloud-native stacks. Medallion architectures, streaming pipelines, and production-grade ETL/ELT.
Cloud Infrastructure & IaC
Infrastructure as Code with Terraform and Terragrunt for Azure and AWS. Networking, identity, governance, and multi-region deployments.
Agentic AI & ML Engineering
Production agentic systems with LangGraph, MLOps pipelines, and ML model deployment. From prototype to scaled inference.
Data Governance & Compliance
Data quality frameworks, lineage tracking, and regulatory compliance. Unity Catalog, access controls, and audit-ready documentation.
Platform Health Checks & Optimization
Fixed-scope platform audits with actionable recommendations. Performance tuning, cost optimization, and architecture review.
Training & Enablement
Hands-on Databricks workshops, architecture review sessions, and team enablement programs tailored to your stack.
// How We Work
Architecture Center of Excellence
Sparkvern is not a staffing agency. Every engagement is founder-led with direct architectural accountability. We operate as an Architecture Center of Excellence: senior-only execution, architecture-first methodology, and fixed-scope deliverables.
"When you work with Sparkvern, you work directly with the principal architect who designed the system. No account managers, no junior handoffs, no telephone game."
Case Studies
Real work, real results, anonymized clients.
Data Platform Health Check
Fixed-scope, 10-day audit. Guaranteed savings, or you pay nothing.
Most platform problems aren't mysterious: they're misconfigurations compounding over time. We find them, quantify the cost, and hand you a prioritized fix list. Starting at $18,000, credited in full toward remediation if you engage us.
See the full Health Check offer →Industries We Serve
Production experience across regulated and high-scale environments.
Banking
Regulatory-compliant data platforms with real-time CDC pipelines and medallion architectures for core banking systems.
Manufacturing & Industrial
Domain-specific data platforms integrating Historian, SAP, and sensor data for operational intelligence.
FMCG & Retail
AI-driven sales execution platforms processing retail data across chains, SKUs, and outlets at scale.
RegTech & Compliance
Agentic compliance automation and multi-region infrastructure for regulated financial services operations.
Healthcare & Pharma
Production data platforms for pharmaceutical supply chains, healthcare SaaS infrastructure, and clinical data pipelines. From regulatory-compliant lakehouse architectures for global pharma operations to secure multi-tenant cloud infrastructure for healthcare workforce platforms.
Technology & SaaS
Multi-channel SaaS platforms with microservice architectures, real-time processing, and cloud-native deployment.
Technical Insights
Deep dives from real project experience.
Data Engineering for Pharma: What's Different About Building Data Platforms for Regulated Industries
Building a data platform for a pharmaceutical company uses the same tools as any other industry (Databricks, Delta Lake, Terraform), but the constraints are fundamentally different. Data quality isn't a nice-to-have, it's a regulatory requirement. Audit trails aren't a feature, they're a condition of operating.
Testing Agentic Systems: What We Learned Running 15+ E2E Scenarios
Unit testing an agent is easy: mock the LLM, assert the output. Testing a multi-agent system end-to-end is a different problem entirely. After building 15+ E2E test scenarios for a production agentic platform, here's what actually works and what doesn't.
Building an Agentic Compliance Platform with LangGraph and PostgreSQL Checkpointing
A technical deep dive into the architecture of an agentic AI compliance case processing platform we built for a European RegTech company. We cover the LangGraph supervisor pattern, PostgreSQL-based checkpointing for long-running workflows, and the MCP gateway for cross-system tool access.
Ready to Build Your Data Platform?
Let's discuss how proven architecture and engineering can solve your specific challenges.
Start a Conversation