06.05.2026 aktualisiert
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Big Data Engineer
Lengerich, Deutschland
Weltweit
St.- st. 'Ss's's's's''s'''Über mich
Areas of Expertise • Programming Language: Python • Data Processing and Analysis:Pyspark, Pandas, Ray, Numpy, NLTK • Web Scraping: BS4 • Databases: SQL (DML), Postgres, Redis • Version Control: Git (GitHub, Gitlab) • Data Visualization: Power BI • Cloud Services: AWS, Snowflake
Skills
dbtApache AirflowETLPythonPostgreSQLMicrosoft Power BISnowflakepandasPySparkAWS Glue
I am a data engineer with 4 years of experience in data and automation. I started my career as an economist at a large manufacturing company, where I worked on KPI forecasting and reporting. After that, I moved into business analytics and improved my skills in metrics, requirements gathering, and data quality.
Then I worked as a backend developer at a large retail company and took part in building a web service to automate logistics business processes. This experience gave me a strong engineering foundation: solution design, working with integrations, and building reliable systems.
Later, I worked as a data engineer at a startup, where I developed data pipelines for analyzing job descriptions and the hiring market. Currently, I work as a data engineer at Trinetix. I develop and maintain data pipelines, build data marts, and improve performance while reducing data processing costs. I also onboard and explore new data sources. My current focus is pipeline automation and data processing.
Erfahrung
Berufserfahrung0 - 5 Jahre
Freelancer seit2021
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.