05/19/2026 updated
partially available
info: Available evenings and weekends
Data Engineer & Business Intelligence Consultant
Prague, Czech Republic
Only remote
Master's degree in Economics and FinanceAbout me
Data engineer and consultant focused on building production data platforms — from warehouse architecture and pipelines to reporting layers and BI delivery. My recent work is focused on open table formats (Iceberg, Delta Lake), Databricks, AWS services, data modeling, and reliable pipeline design.
Apache IcebergAzure DatabricksdbtSql Data WarehouseData AnalysisMicrosoft AzureBusiness Intelligence DevelopmentData ArchitectureData GovernanceData IntegrationData TransformationData MigrationData WarehousingAzure Data FactoryGit
Cloud Data Platforms (AWS & Azure)
Expertise in designing and building data platforms on AWS (Glue, S3, Lambda, DynamoDB, SQS) and Azure (Synapse, Data Factory), including end-to-end pipeline architecture from ingestion to curated output.
Apache Iceberg & Open Table Formats
Hands-on experience with Apache Iceberg for building modern data lakehouses, implementing ingestion patterns such as batch processing, metadata-only ingestion, and configuration-driven load types using Spark SQL and PyIceberg.
ELT/ETL Pipelines & Data Modeling
Design and development of SQL-based ELT pipelines for Azure Synapse and Databricks, including dbt transformation layers, data modeling, and reliable end-to-end delivery across multiple client environments.
SQL / T-SQL
Writing complex SQL and T-SQL queries for data transformations, reporting layers, and data warehouse development across various platforms.
Databricks
Working with Databricks for large-scale data processing, transformation, and analytics as part of modern data architectures.
Power BI
Building reports, dashboards, and reporting datasets in Power BI for internal and client-facing analytics.
Python
Using Python for data engineering tasks, automation, and integration within data pipelines.
dbt (data build tool)
Implementation of dbt transformation layers to manage and version data transformations within the data warehouse.
Terraform & Git / CI-CD
Infrastructure-as-code with Terraform and version control with Git, including CI-CD pipelines for automated deployment and delivery.
Data Architecture & Governance
Contributing to data architecture decisions, establishing data quality monitoring, governance processes, and operational standards across platforms.
Microsoft Fabric & GoodData
Experience with Microsoft Fabric and GoodData as part of the analytics and reporting toolset.
Expertise in designing and building data platforms on AWS (Glue, S3, Lambda, DynamoDB, SQS) and Azure (Synapse, Data Factory), including end-to-end pipeline architecture from ingestion to curated output.
Apache Iceberg & Open Table Formats
Hands-on experience with Apache Iceberg for building modern data lakehouses, implementing ingestion patterns such as batch processing, metadata-only ingestion, and configuration-driven load types using Spark SQL and PyIceberg.
ELT/ETL Pipelines & Data Modeling
Design and development of SQL-based ELT pipelines for Azure Synapse and Databricks, including dbt transformation layers, data modeling, and reliable end-to-end delivery across multiple client environments.
SQL / T-SQL
Writing complex SQL and T-SQL queries for data transformations, reporting layers, and data warehouse development across various platforms.
Databricks
Working with Databricks for large-scale data processing, transformation, and analytics as part of modern data architectures.
Power BI
Building reports, dashboards, and reporting datasets in Power BI for internal and client-facing analytics.
Python
Using Python for data engineering tasks, automation, and integration within data pipelines.
dbt (data build tool)
Implementation of dbt transformation layers to manage and version data transformations within the data warehouse.
Terraform & Git / CI-CD
Infrastructure-as-code with Terraform and version control with Git, including CI-CD pipelines for automated deployment and delivery.
Data Architecture & Governance
Contributing to data architecture decisions, establishing data quality monitoring, governance processes, and operational standards across platforms.
Microsoft Fabric & GoodData
Experience with Microsoft Fabric and GoodData as part of the analytics and reporting toolset.
Experience
Professional experience5 - 10 years
Freelancer since2018
Languages
EnglishFluentSlovakNative speaker
Project history
Designing and building a data platform on open table formats (Apache Iceberg) within the AWS ecosystem, from ingestion layer through transformation to curated output. Implementing ingestion patterns including batch processing, metadata-only ingestion, and configuration-driven load types using Spark SQL and PyIceberg. Working with multiple Iceberg catalog implementations and contributing to data architecture decisions, data modeling, and pipeline reliability.
Led a team responsible for data warehouse development, data quality, and reporting delivery across multiple client environments. Managed design and development of SQL-based ELT pipelines for Azure Synapse and Databricks. Oversaw implementation of dbt transformation layers and Power BI reporting datasets. Established data quality monitoring, governance processes, and operational standards. Coordinated cross-team project delivery and client communication.
Transitioned from individual contributor to team lead, managing data operations across multiple client projects. Defined operational processes for data delivery, monitoring, and incident response. Supported the team's development from ad-hoc reporting to structured data operations.