09/04/2026 updated
40 % partially available
Data Platform Architect | Snowflake, dbt, Databricks, Azure | AI Agents & Automation | 12+ yrs
Gdańsk, Poland
Only remote
B.Sc. Hons Computer Science & Information Systems, North-West University (2014); B.Sc. IT (2012)About me
Greenfield architecture and legacy migration for enterprise data platforms: 12+ years across banking, manufacturing, mining and consumer goods, with a habit of taking five figures a month off the cloud bill. Fortune 500 scale — including a 4,000-model Snowflake and dbt estate.
AI AgentsAzure FunctionsdbtAzure DevOpsBusiness IntelligenceData ArchitectureData GovernanceData InfrastructureData ModelingData WarehousingDevOpsPython (Programming Language)Azure SQLMicrosoft Business IntelligenceMicrosoft Power BI
Data Platform Architect and independent consultant, 12+ years in the Microsoft and modern data ecosystem. Based in Gdansk, Poland; native English speaker; working 100% remote.
Smitster Data delivers greenfield architecture and legacy migration at Fortune 500 scale — including a Snowflake and dbt estate of 4,000+ models in a single codebase serving hundreds of Power BI reports, alongside Databricks/PySpark workloads, Azure Data Factory pipelines and a fully Terraform-provisioned environment. Successive optimization rounds took $10K+/month off recurring cloud spend.
Core technologies
Cloud and data platforms: Snowflake, Databricks (PySpark, Unity Catalog, Delta Lake), Microsoft Fabric, Azure Synapse, Azure SQL Database
Transformation and orchestration: dbt (dbt-core, dbt Cloud), Azure Data Factory, Logic Apps, Azure Functions
Infrastructure and DevOps: Terraform, Azure DevOps, GitHub Actions, Azure CLI, PowerShell, Git, CI/CD for data platforms
Storage: Azure Data Lake Storage, Azure Blob Storage
AI Automation: MCP, AI agent orchestration, Azure AI Foundry, Copilot CLI, Claude Code, custom Python agents, OpenMetadata MCP connector, LLM-powered data access (Databricks Genie, Snowflake Cortex)
BI and visualization: Power BI, Power BI Premium, Azure Analysis Services, SSAS Tabular, DAX
Languages: SQL, T-SQL, Python, PySpark, PowerShell
Architecture: lakehouse, medallion (bronze/silver/gold), Kimball dimensional modelling, data mesh principles, ontological data design, data governance, infrastructure as code
Selected results
Cut $10K+/month of recurring cloud spend by right-sizing always-on Databricks clusters, consolidating dozens of legacy ingestion notebooks into a reusable framework and eliminating wasteful dbt CI rebuilds.
Built and deployed an AI PR-review framework on MCP, designed to operate as a required reviewer in the production code path, extended into a multi-agent framework with a hierarchical skill library that lets agents scope and deliver backlog items.
Integrated OpenMetadata's MCP connector with Azure AI Foundry for programmatic metadata and lineage queries across Snowflake, dbt and Power BI.
Rebuilt an underperforming Power BI semantic model in one week, cutting tile render times from 2-3 minutes to under 2 seconds, and right-sized Azure Analysis Services from S9v2 to S4 for roughly $10K/month saved on that line alone.
Cut a daily ETL synchronization window from 13+ hours to 5 hours while sustaining 99% warehouse uptime for up to 600 business users.
Industry experience: financial services, consumer goods, manufacturing, telecoms, mining, and large regulated multinational enterprises.
Experience
Professional experience10+ years
Freelancer since2022
Languages
EnglishNative speaker
Project history
Engaged as data platform architect on a Fortune 500 Snowflake and dbt estate: 4,000+ models in a shared codebase serving hundreds of Power BI reports, alongside Databricks/PySpark workloads, Azure Data Factory pipelines and a fully Terraform-provisioned environment.
Cut recurring cloud spend by $10K+/month - replaced always-on all-purpose Databricks clusters with right-sized auto-terminating job clusters, consolidated dozens of legacy ingestion notebooks into one reusable framework, and eliminated dbt CI rebuilds burning Snowflake credits on every pull request.
Built and deployed an AI PR-review framework on MCP, designed to operate as a required reviewer in the production code path, extended into a multi-agent framework with a hierarchical skill library that lets agents scope and deliver backlog items.
Integrated OpenMetadata's MCP connector with Azure AI Foundry for programmatic metadata and lineage queries across Snowflake, dbt and Power BI.
Designed large-scale dbt transformation layers in Snowflake covering data modelling, pipeline logic and quality frameworks, plus Snowflake procedures and private sharing for governed data marketplace solutions.
Engineered PySpark workloads in Databricks and Unity Catalog, including historised delta table architectures for regulated data; CI/CD via Azure DevOps, infrastructure-as-code with Terraform, and Azure service integration (Data Lake, Logic Apps, Function Apps, Key Vault).
Contract engagements for two Fortune 500 consumer goods enterprises (APAC and Europe).
Rebuilt an underperforming Power BI semantic model from scratch in one week - replacing six months of a previous consultant's work - cutting tile render times from 2-3 minutes to under 2 seconds.
Right-sized the client off Azure Analysis Services' most expensive tier (S9v2 to S4), cutting roughly $10K/month from that line item alone with no perceptible drop in report performance.
Designed a CI/CD framework for automated Power BI deployments via Azure DevOps and GitHub Actions.
Built lakehouse architectures on Azure Synapse (SQL Serverless, Apache Spark, Dedicated pools) with Databricks and Azure Data Factory, processing terabytes on Azure SQL Database Hyperscale.
Engineered enterprise Power BI solutions including Dashboards, Dataflows and Premium datasets alongside large-scale Azure Analysis Services models.
Architected and developed the IntelliView enterprise BI banking platform across Azure SQL Database, SSAS Tabular, Azure Analysis Services, Azure Data Factory and Power BI for large-scale financial analytics.
Established an Automatic Regression System with CI/CD via Azure DevOps that detects data changes and regressions before release, holding data quality and consistency platform-wide.
Deployed full Azure environments as infrastructure-as-code using Azure Resource Manager templates, Azure PowerShell and Azure CLI.
Progressed from BI Developer to Senior to Advisory over the tenure.
Certificates
Power BI Data Analyst Associate
Microsoft2022
Microsoft Certified: Azure Fundamentals
Microsoft2021
MCSA: Power BI Reporting
Microsoft2020
DAT207x: Visualizing Data with Power BI
edX2018
MCSE: Data Management and Analytics
Microsoft2016
MCSE: Business Intelligence
Microsoft2016