10/16/2025 updated


100 % available
Senior Data Engineer with Python and SQL expertise
Espoo, Finland
Finland +1
M.Sc. Systems Science, Aalto Universityinfo: Finland, Sweden
Amazon Web ServicesFinancial Data AnalysisAutomationBash ShellCloud ComputingDatabasesContinuous DeliveryContinuous IntegrationInformation EngineeringData IntegrityExtract Transform Load (ETL)Data QualityIBM DB2Database SchemaLinux
Python Programming
Strong Python skills for data engineering tasks, ETL pipeline development, and data processing workflows.
SQL & Database Technologies
Expertise in multiple SQL platforms including PostgreSQL, DB2, Snowflake, SQL Server, and Databricks with focus on query optimization and database schema design.
Cloud & Data Engineering
Experience with AWS services, Databricks, and data platform development for complex financial data processing and ETL workflows.
CI/CD & Docker
Knowledge of continuous integration/continuous deployment pipelines and containerization using Docker and related technologies.
Linux & Bash
Proficiency in Linux environments and Bash scripting for automation and system management.
Apache Spark
Experience with Apache Spark and PySpark for large-scale data processing and analytics.
Data Quality & Monitoring
Implementation of data quality checks and monitoring dashboards to ensure data integrity.
Strong Python skills for data engineering tasks, ETL pipeline development, and data processing workflows.
SQL & Database Technologies
Expertise in multiple SQL platforms including PostgreSQL, DB2, Snowflake, SQL Server, and Databricks with focus on query optimization and database schema design.
Cloud & Data Engineering
Experience with AWS services, Databricks, and data platform development for complex financial data processing and ETL workflows.
CI/CD & Docker
Knowledge of continuous integration/continuous deployment pipelines and containerization using Docker and related technologies.
Linux & Bash
Proficiency in Linux environments and Bash scripting for automation and system management.
Apache Spark
Experience with Apache Spark and PySpark for large-scale data processing and analytics.
Data Quality & Monitoring
Implementation of data quality checks and monitoring dashboards to ensure data integrity.
Experience
Professional experience5 - 10 years
Freelancer since2025
Languages
FinnishNative speakerEnglishFluentSwedishBasic knowledge
Project history
Designing and maintaining ETL pipelines using SQL Server and Snowflake. Automating data workflows with AWS stepfunctions. Implementing complex calculations on Databricks and PySpark. Data synthetization using Banking data platform and Databricks GPU clusters. Optimizing SQL queries and database schema for financial data marts. Implementing data quality checks and monitoring dashboards.
Built scalable batch processing workflows using SSIS and SQL Server. Developed API products with high accessibility. Developed secure data ingestion processes compliant with banking regulations.
Built ETL processes using SSIS, SSAS and SQL Server. Windows and AD scripting using PowerShell. Complex HR calculations based on HR and payroll data.