06.10.2025 aktualisiert
100 % verfügbar
Инженер по данным Python
Lengerich, Deutschland St.- st. 'Ss's's's's''s'''
Über mich
Areas of Expertise • Programming Language: Python • Web Frameworks: Flask • Data Processing and Analysis:Pyspark, Pandas, Ray, Numpy, NLTK • Web Scraping: BS4 • Databases: SQL (DML), Oracle, Postgres, Redis • Version Control: Git (GitHub, Gitlab) • Data Visualization: Power BI • Cloud Services: AWS
Skills
Data Pipelines: take part in build and manage data layers (Raw, Derived, Datamart) and improve data processing.
AWS Step Functions: create and update workflows that move data between systems.
Databases: I work with Aurora, PostgreSQL, and OpenSearch to store and find data.
Backend: I write automation tools using Python (Flask).
Sprachen
DeutschGrundkenntnisseEnglischverhandlungssicherRussischverhandlungssicherUkrainischMuttersprache
Projekthistorie
Responsible for developing, designing, and implementing data pipeline project.
Designed and built scalable, robust, and maintainable data pipelines and ETL processes to efficiently process and transform large volumes of data.
Worked on an HR Analytics Platform, parsing job postings and implementing analytics to feed into SaaS platforms and Market Intelligence projects.
Developed and maintained data warehouses and databases using technologies such as Redshift and PostgreSQL.
Wrote clean, efficient, and well-documented code in Python for various data engineering tasks.
Designed and built scalable, robust, and maintainable data pipelines and ETL processes to efficiently process and transform large volumes of data.
Worked on an HR Analytics Platform, parsing job postings and implementing analytics to feed into SaaS platforms and Market Intelligence projects.
Developed and maintained data warehouses and databases using technologies such as Redshift and PostgreSQL.
Wrote clean, efficient, and well-documented code in Python for various data engineering tasks.