06/02/2026 updated

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Data Engineer, Data Architect and DevOps Engineer with expertise in Azure Cloud Solutions

Warszawa, Poland
Worldwide
MSc Actuarial Science/Mathematics, MA Finance, MSc Engineering, MSc Genrative AI (2027)
Warszawa, Poland
Worldwide
MSc Actuarial Science/Mathematics, MA Finance, MSc Engineering, MSc Genrative AI (2027)

Profile attachments

PI_Policy_Professional Indemnity for Digital Professions_20036-2025.pdf

About me

I provide data-driven, action-oriented solutions to challenging business problems. I am an experienced Data analyst, DevOps engineer, Data architect, and Solution architect on Azure, with expertise in engineering, finance, and insurance.

Microsoft AzureBig DataData ArchitectureData IntegrationDevOpsAzure Data LakeYAMLAzure Data FactoryKubernetesData LineageCloud MigrationDatabricks
Azure Cloud Architecture
Extensive expertise in Azure cloud solutions including Azure DevOps, Azure Synapse, Azure Data Factory, and Azure Data Lake. Design and implementation of medallion architecture (bronze, silver, gold) for optimized data management.

Data Engineering & Analytics
Advanced skills in data pipeline development, ETL/ELT processes using Databricks, and data integration from heterogeneous sources. Experience with data modeling and analytics for financial services and risk management.

Programming & Machine Learning
Proficiency in Python, C/C++, SQL, and various ML frameworks including TensorFlow, Keras, and Scikit-learn. Development of data validation tools, predictive models, and deep learning solutions.

DevOps & CI/CD
Implementation of CI/CD automation using modular YAML-based Azure DevOps pipelines. Experience with Docker, Kubernetes, and GitOps practices for environment-specific deployments.

Big Data Technologies
Expertise in PySpark, Pandas, and big data processing frameworks for handling large-scale data analytics and extraction. Implementation of data quality frameworks and business data lineage.

Data Visualization
Creation of interactive dashboards and reports using Power BI and QlikView. Development of data visualization solutions for business intelligence and financial reporting.

Cloud Migration
Experience in migrating legacy on-premise workloads to Azure cloud environments with focus on scalability, resilience, and governance.
 

Languages

GermanGoodEnglishNative speakerDutchGood

Project history

Data/DevOps Engineer

SEFE GmbH

Energy, Water & Environment

500-1000 team member

Contributing as a freelance Data/DevOps Engineer in a cross-functional team building a modern sales reporting and forecasting platform on Azure. Key responsibilities include:
  • Partnering with commercial and analytics teams to transform sales and forecasting use cases into scalable data services with real-time and batch capabilities.
  • Architecting and implementing data integration pipelines in Azure Synapse Analytics and ADF, following medallion architecture (bronze, silver, gold) to ensure optimized layer-based data management.
  • Developing ETL/ELT pipelines in Databricks to support complex business logic and data enrichment for forecasting accuracy.
  • Leading the design and implementation of MLOps in Databricks, enabling robust model development, experiment tracking, model versioning, and automated deployment pipelines using MLflow.
  • Integrating heterogeneous data sources, including Salesforce, Microsoft Dynamics 365, REST APIs, and legacy on-premise systems across several European business units.
  • Leading CI/CD automation efforts using modular YAML-based Azure DevOps pipelines, enabling environment-specific deployments and promoting GitOps practices.
  • Implementing automated pipeline validation and smoke testing frameworks in CI/CD workflows to ensure quality and stability before production rollout.
  • Supporting the cloud migration of legacy on-premise workloads to Azure, focusing on scalability, resilience, and governance.
  • Providing technical onboarding, mentorship, and ongoing support to new engineers and interns, accelerating ramp-up and knowledge sharing within the team.

Data Engineer/Data Architect/DevOps Engineer

ABN AMRO

Banking & Financial Services

1000-5000 team member

Working as a freelancer in a DevOps team developing an integrated data platform for Credit Risk stress testing for EBA regulatory reporting with the following responsibilities
  • Translation of business requirements to technical solutions leveraging strong business acumen
  • Understanding credit risk business processes
  • Key stakeholder communication  in various departments
  • Overall responsibility for Azure platform solution architecture
  • Solution architecture of Azure data lakehouse (Medallion architecture)
  • Deployment and development of the lakehouse (Azure DevOps pipelines)
  • Data pipeline development for credit risk data  (Azure Data Factory)
  • Credit risk data integration and modeling (Databricks)
  • Working in Agile/scrum environment (Azure DevOps)
  • On-premise data migration to Azure
  • Mentorship and training of new team members/interns

Azure Data Architect/data Engineer

ABN AMRO

Banking & Financial Services

5000-10.000 team member

Worked as a freelancer in a DevOps team developing a Domain Data Store for Finance & Risk
  • Translation of business requirements to technical solutions leveraging strong business acumen
  • Effective communication with key stakeholders in various departments
  • Data Quality framework implementation (PySpark, Databricks, SQL)
  • Azure Data Lake data domain store development
  • Implementation of technical and business data lineage
  • Functional testing
  • Big Data  - Finance & Risk data integration from golden sources
  • Lead - Oracle application migration to Azure environment
  • Proficiency in data modeling and SQL development (SQL server, Oracle)
  • Data pipeline development and monitoring (Azure Data Factory)
  • Azure DevOps for project development life cycle management
  • Mentorship of new team members/interns

DevOps Data Analyst

ASR Nederland N.V.

Insurance

1000-5000 team member

Worked as a freelancer on the IFRS 17 implementation project
  • IFRS 17 business requirement translation.
  • Shadow model functional requirement interpretation and model validation.
  • Functional and performance testing of IFRS 17 testcases in accounting hub application
  • Dry-run preparation and implementation.
  • Big Data analytics of IFRS 17 measurement calculations (SQL, PySpark)
  • Big Data extraction for external auditing check (SQL, Python, PySpark)
Reporting with QlikView

Senior Consultant Data Science

Synechron

Banking & Financial Services

50-250 team member

Worked full time for aa Amsterdam based consulting firm with clients in the financial services sector.
  • Worked on an engagement at Nationale Nederlanden  as a data modeler/analyst for implementation of IFRS 17.  Involved developing a common data model for 15 countries in which NN operates.
  • Carried out the aggregation of data from 15 international BU's source systems into a common data model which facilitates validation and aggregation of data for group accounts processing and reporting for NN.
  • Development of various data validation tools in Python.
  • Developed a PD model for a retail portfolio in Python using logistic regression for a tier II bank.
  • Legal document classification and Named Entity extraction using Deep neural networks techniques for bank KYC project. (using AWS SageMaker)
  • Client churn modeling for retention marketing using logistic regression
  • Teaching Python fundamentals for data analytics - internal Synechron course
  • Analysis of Dutch housing energy labels using Python for sustainable investment and dashboard presentation with Power BI.
  • Carried out various data science related proof of concepts for financial services clients.

Risk Analyst

Nationale-Nederlanden

Insurance

1000-5000 team member

Responsible for quarterly risk capital regulatory reporting, validation of hedge effectiveness parameters, and Solvency II model measurement calculations using Excel and R.
  • Quarterly risk capital regulatory reporting using internal and standard models for NN Re base entities.
  • Validation of Hedge effectiveness parameter and functional testing of expense risk models using R.
  • Solvency II model measurement calculations in Excel and R.
  • Validation of internal cash-flow model using Python shadow model.

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