10/30/2026 updated

AK
100 % available

Senior Data & AI Engineer | Snowflake, dbt, Airflow, AWS, Python

Krakow, Poland
Only remote
IT Technologies in Business, Andrzej Frycz Modrzewski Krakow University, Poland
Krakow, Poland
Only remote
IT Technologies in Business, Andrzej Frycz Modrzewski Krakow University, Poland

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Arkadiusz_Kordos_CV_10-2026.docx

About me

Senior Data & AI Engineer with 13+ years building and migrating data warehouses and ELT platforms for UK organisations. Snowflake, dbt and Airflow specialist with deep SQL and data modelling (Kimball, Data Vault). Leads migrations end to end, model to production. Builds LLM multi-agent systems.

Sql Data WarehouseAutomatic Data Processing EquipmentApache AirflowBig DataCloud EngineeringData ArchitectureData InfrastructureData IntegrationData Manipulation LanguagesData TransformationData MigrationData Processing SystemsData SystemData Transformation ServicesData Vault ModelingData VirtualizationData WarehousingDatabase DevelopmentIBM InfoSphere DataStageAmazon DynamoDBApache HiveData IntelligencePostgreSQLSmart DataData Access LayerDataOpsAzure Data LakePL-SQLSQL DatabasesDatabase EnginesAutomated Data Processing (ADP)Data ProcessingCloud Platform SystemAzure Data FactorySnowflakeApache SparkData AssimilationpandasDatabase MigrationData LakeApache FlinkAWS Data AnalyticsDataweaveTerraformAzure Data AnalyticsArtificial Intelligence Markup Language (AIML)Data PipelineSql Server Data ToolsAmazon RedshiftDatabricksData Generation
Data Warehouse Design & Migration
Expertise in designing and migrating data warehouses end to end, including Kimball and Data Vault modelling, legacy-to-cloud migrations, and performance tuning across Oracle, SQL Server, PostgreSQL, Amazon Redshift and Snowflake.

Cloud ELT Pipeline Engineering
Proficiency in building scalable ELT pipelines using Python, PySpark, Pandas, dbt and Apache Airflow, with orchestration, automated data-quality testing, version control and deployment across dev, test and production environments.

AI & LLM Systems Development
Hands-on experience designing and building LLM-based multi-agent systems, including agent and prompt design, synthetic data generation, AI governance (EU AI Act, DORA) and self-hosted multi-agent fleet architectures.

Snowflake & Cloud Data Platforms
Deep knowledge of Snowflake, Amazon Redshift, PostgreSQL, Oracle, SQL Server, Teradata and MongoDB as data platform technologies for enterprise-scale analytics and reporting.

AWS & DevOps
Practical experience with AWS services including S3, Glue, Athena, Lambda and CloudFormation, as well as Google Cloud Platform, Terraform, Git and CI/CD pipelines.

SQL & Database Development
Advanced SQL skills covering T-SQL, PL/SQL and PL/pgSQL, including stored procedures, complex query optimisation, indexing, partitioning and schema validation.

Geospatial Data Engineering
Experience building geospatial data warehouses and analysing GPS data using Python spatial libraries to support safety-critical operations and route optimisation.

Business Intelligence with Looker
Delivery of self-service analytics by integrating Looker with data warehouses, enabling business teams to access dashboards and reports independently.

RegTech & Synthetic Data Platforms
Co-founding and building RegTech SaaS products and B2B synthetic banking data platforms with compliance artefacts for DORA, the EU AI Act and BCBS 239.

Languages

EnglishNative speaker

Project history

Founder (synthetic banking data platform)

Infundum
Designing a B2B platform generating synthetic banking data with compliance artefacts for DORA, the EU AI Act and BCBS 239.

Senior Data Engineer (Contract)

British Airways
Leading the migration of approximately 150 enterprise HR tables from legacy Oracle to Snowflake into a four-layer data warehouse, with transformations in dbt and orchestration in Apache Airflow. Automated approximately 200 dbt models across four layers with documented schemas, automated data-quality tests and version control. Owns releases across dev, test and production environments and leads code reviews contributing to solution design, unit testing and technical documentation.

Co-founder (RegTech SaaS for regulated intermediaries)

Nestis
Built a working prototype of a broker cockpit covering an 8-stage mortgage workflow for regulated intermediaries. Delivered a proof of concept for automated bank-form completion in Python (XFA PDF injection with pikepdf). EEC Startup Challenge 2026 semi-finalist (top 80).

Multi-agent LLM Systems Developer

Independent work
Built a library of 15+ specialised LLM agents covering solution architecture, backend design, legal drafting, enterprise sales and quantitative research, sharing a common discovery-first protocol with explicit certainty labelling. Designed a self-hosted multi-agent fleet and a multi-agent trading system combining an LLM fundamentals agent with a quantitative Python/vectorbt agent over a shared Postgres (Supabase) layer.

Data Engineer

CodiLime
Built scalable ELT pipelines in PySpark and Pandas loading into Snowflake and orchestrated with Airflow. Optimised processing through query tuning, partitioning and caching, reducing compute cost and pipeline runtime. Gathered requirements with cross-functional teams and delivered data models and pipelines supporting reporting and analytics.

Data Engineer (Contract)

Aviva
Led an end-to-end data warehouse migration from Microsoft SQL Server to PostgreSQL, managing deployment across environments to protect data integrity and minimise downtime. Developed PL/pgSQL procedures and functions automating data processing, transformation and validation. Ran schema validation, data-quality checks and post-migration testing with business and engineering teams, delivering a production-ready platform.

Data Engineer

Cuvva
Built the company's first data warehouse integrating Intercom, AppsFlyer and other product and marketing sources using Kimball and Data Vault modelling. Migrated the warehouse from PostgreSQL to Amazon Redshift, improving performance and scalability. Built Python/PySpark parsing for complex nested JSON and delivered self-service analytics by integrating Looker with the warehouse.

Data Engineer & Data Modeller

Capitalise.com
Designed the conceptual, logical and physical data warehouse model with stakeholders, built for scalability and performance. Built Airflow DAGs automating ETL workflows with data validation and error handling.

Data Modeller

Arriva Group
Led conceptual, logical and physical data modelling for the UK Trains division and contributed to the UK Bus warehouse design. Implemented an AWS Redshift data warehouse using Python and SnapLogic, ingesting XML and GPS-generated geospatial data. Analysed GPS data with Python spatial libraries to support route optimisation and fleet management.

Data Engineer / SQL Developer

Transport for London, UPS, BRE
Delivered a 9-billion-record migration from SQL Server/Oracle to AWS Redshift. Built a geospatial data warehouse supporting safety-critical operations at Transport for London. Developed stored procedures, complex SQL and data models on SQL Server and Oracle, tuning performance through indexing and partitioning.

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