09/26/2025 updated
WK
100 % available
Senior Data Engineer with expertise in ETL, Big Data and Cloud Platforms
Szbkowice Slaskie, Poland
Worldwide
Bachelor of Science in Computer ScienceJava (Programming Language)Amazon Web ServicesAutomationMicrosoft AzureBig DataGoogle BigQueryCloud ComputingComputer ProgrammingContinuous IntegrationD3.JsData ArchitectureInformation EngineeringExtract Transform Load (ETL)Data MartData Modeling
Data Architecture & ETL Development
Expertise in designing scalable data architectures, data modeling, and database design for large-scale systems. Extensive experience with ETL tools including Apache NiFi, Talend, Informatica, and Azure Data Factory.
Big Data Technologies
Proficiency in Hadoop, Spark, Kafka, and other big data technologies for processing and analyzing large datasets. Experience developing real-time data streaming solutions.
Cloud Platforms
Strong background in AWS, Azure, and Google Cloud Platform for cloud-native data engineering solutions. Experience with Redshift, Azure Data Lake, Azure Databricks, and BigQuery.
Programming & Scripting
Proficiency in Python, SQL, Scala, and Java for data manipulation and automation. Experience with shell scripting for workflow automation.
Database Management
In-depth knowledge of relational databases (PostgreSQL, MySQL, SQL Server) and NoSQL databases (MongoDB, Cassandra, HBase). Experience optimizing SQL queries and database performance.
Data Warehousing
Experience with Snowflake, Redshift, and BigQuery for designing and managing data warehouses. Skills in dimensional modeling and data mart development.
DevOps & Infrastructure
Experience with Docker, Kubernetes, Jenkins, Git, and Terraform for infrastructure automation and CI/CD pipelines. Implementation of infrastructure-as-code practices.
Data Visualization
Skills in Tableau, Power BI, Looker, and D3.js for creating interactive dashboards and visual analytics solutions.
Expertise in designing scalable data architectures, data modeling, and database design for large-scale systems. Extensive experience with ETL tools including Apache NiFi, Talend, Informatica, and Azure Data Factory.
Big Data Technologies
Proficiency in Hadoop, Spark, Kafka, and other big data technologies for processing and analyzing large datasets. Experience developing real-time data streaming solutions.
Cloud Platforms
Strong background in AWS, Azure, and Google Cloud Platform for cloud-native data engineering solutions. Experience with Redshift, Azure Data Lake, Azure Databricks, and BigQuery.
Programming & Scripting
Proficiency in Python, SQL, Scala, and Java for data manipulation and automation. Experience with shell scripting for workflow automation.
Database Management
In-depth knowledge of relational databases (PostgreSQL, MySQL, SQL Server) and NoSQL databases (MongoDB, Cassandra, HBase). Experience optimizing SQL queries and database performance.
Data Warehousing
Experience with Snowflake, Redshift, and BigQuery for designing and managing data warehouses. Skills in dimensional modeling and data mart development.
DevOps & Infrastructure
Experience with Docker, Kubernetes, Jenkins, Git, and Terraform for infrastructure automation and CI/CD pipelines. Implementation of infrastructure-as-code practices.
Data Visualization
Skills in Tableau, Power BI, Looker, and D3.js for creating interactive dashboards and visual analytics solutions.
Experience
Professional experience10+ years
Freelancer since2025
Languages
EnglishFluentPolishNative speaker
Project history
Designed and implemented ETL pipelines using AWS Glue, Python, and SQL. Developed Airflow DAGs for job orchestration. Built dbt models for analytics-ready tables. Implemented infrastructure automation with Terraform and CI/CD integration with GitHub Actions.
Led the design and implementation of a company-wide data lake on AWS and Azure. Developed ETL pipelines using Apache NiFi and Azure Data Factory. Implemented real-time data streaming with Kafka and Azure Databricks. Migrated legacy systems to the cloud, reducing infrastructure costs by 25%.
Designed and managed a data warehouse on Google BigQuery and Azure Data Lake. Created ETL processes using Apache Airflow and Azure Data Factory. Implemented data quality frameworks and optimized SQL queries, reducing execution times by 40%.