Omschrijving

Patrick Peek is an independent Solution Architect with over 20 years of experience in Data. Patrick has delivered projects across Healthcare, Finance, Transport, Energy and Utilities, and more recently Pensions and B2B SaaS. Within these projects Patrick has fulfilled the roles of Solution Architect, Data Architect, Lead / Principal Consultant, Data Engineer, Information Analyst and Technical Designer. Over the past year Patrick has specialised in production-grade AI/LLM systems, designing hybrid architectures that combine large language models with deterministic engines and shipping them to production rather than stopping at proof-of-concept.

Alongside his technical skills Patrick has broad knowledge of business processes, which enables him to translate customer needs into workable solutions. He is analytical, pragmatic, and keeps the total oversight of a project while remaining hands-on in the details. This makes Patrick an ideal architect for multi-disciplinary teams.

Recent projects: FlowOptimo, APG Pensions, T-Mobile, Postcodeloterij, TB Auctions, Shell, Dynata, VidaXL, DLL.

Reusable solutions developed: ETL generator for SSIS, Continuous Integration frameworks for AWS and Azure, Infrastructure-as-Code templates for multi-tenant SaaS platforms.

Branche-expertise

Talen

Nederlands
Tweetalig / moedertaal
Engels
Vloeiend

Voorkeuren voor werkplek

Kan op locatie werken

Utrecht (tot 50km)

FlowOptimo
Product Architect
maart 2025 - mei 2026 (1 jaar en 2 maanden)
Building a multi-tenant B2B SaaS platform with an AI-driven core for vacation rental operations (logistics, cleaning, and maintenance coordination).
• • Architected the AI layer: Implementing agents for automated task classification, route optimization algorithms, and operational sequence prediction. Multi-tenant
APG
IT Solution Architect Data and Analytics
BANKEN & VERZEKERINGEN
november 2022 - maart 2025 (2 jaren en 4 maanden)
Amsterdam Metropolitan Area, Netherlands
Solution Architect across two business units. BU1 on Azure Databricks / Azure Data Factory; BU2 on Cloudera Data Platform on Microsoft Azure. Covered cloud/data platform migration, building new data & analytics platforms, and streaming / real-time data pipelines.
The following tasks have been carried out:
• Solution and Data Architecture
• Cloud migration strategy (lift-shift and modernization)
• New data & analytics platform design
• Streaming / real-time data pipeline design
• Cross-platform architecture across Databricks and Cloudera stacks
• Infrastructure as Code
• Proof of Concepts
• Architecture governance and advisory
Tools:
Azure Data Factory, Azure Databricks, Azure Data Lake (ADLS Gen2), Databricks Delta, Unity Catalog, Azure Event Hubs, Apache Kafka, Cloudera Data Platform, Terraform, Bicep
TBAuctions
Solution Architect/ Lead Data engineer
april 2020 - november 2022 (2 jaren en 7 maanden)
Amsterdam, Netherlands
Streaming data pipeline for monitoring.
The following tasks have been carried out:
• Solution and Data Architecture
• Data modeling
• CI/CD pipeline
• Source analysis
• Data engineering
• Report development
Tools:
Azure Databricks, Databricks Delta, Azure Data Lake, Apache Kafka, Spark, Python, AWS Kinesis, AWS Lambda, Snowplow, Power BI, Azure DevOps, Azure Batch