Poland
6
58
Data Engineer with experience in ETL/ELT pipeline development, data modeling, and machine learning data integration. Skilled in Python, PySpark, dbt, Apache Airflow, and cloud platforms including AWS and Azure. Proficient in developing data acquisition scripts, maintaining cloud infrastructure, and creating dashboards in tools like Google Looker. Background in web development using Flask and GraphQL, and experienced in teaching Python. Strong expertise in managing data platforms for various industries including healthcare, finance, and manufacturing.
Python
Docker
pandas
PostgreSQL
PySpark
US social media company from Health area:
ETL/ELT pipelines development and feature stores data modeling for machine learning and analytics with dbt, Apache Airflow, Snowflake.
Development of dashboards for data monitoring in Google Looker, Census.
Big Four auditing company:
ETL/ELT pipeline development using PySpark (on AWS Glue), Step Functions.
Data modeling in AWS Redshift.
Lakehouse architecture development using S3, AWS Glue Data Catalog, AWS Redshift, DynamoDB, Aurora, Opensearch.
Large US industrial manufacturing company:
Script development for data acquisition and ingestion from various data sources using Selenium, Python (Pandas, NumPy), PySpark (on Databricks).
Development of ETL pipelines using Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Cosmos DB, Azure Storage Account, etc.
Tech stack:
AWS
Python
pandas
PySpark
Microsoft Azure
Airflow
Snowflake
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Data platform development and maintenance for Swiss medical company:
Data acquisition/ ingestions scripts development and configurations.
Development and maintenance of Airflow DAGs.
Maintenance of AWS cloud architecture (AWS S3, AWS RDS) using Terraform.
Web development for US financial exchange:
Development of gRPc functions.
Development of unit and integrational tests.
Tech stack:
AWS
Python
Airflow
Terraform
Web development for US financial platform:
Web development using Flask, aiohttp, GraphQL and other libraries and frameworks.
Development of unit and integration tests. Documentation creation.
Tech stack:
Flask
aiohttp
GraphQL
Data Engineer with experience in ETL/ELT pipeline development, data modeling, and machine learning data integration. Skilled in Python, PySpark, dbt, Apache Airflow, and cloud platforms including AWS and Azure. Proficient in developing data acquisition scripts, maintaining cloud infrastructure, and creating dashboards in tools like Google Looker. Background in web development using Flask and GraphQL, and experienced in teaching Python. Strong expertise in managing data platforms for various industries including healthcare, finance, and manufacturing.
2012 - 2016. Bachelor in Nuclear Engineering
2016 - 2018. Master degree in Nuclear Engineering
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