🛒 0
×

Your chosen CVs

No CV in your cart yet

ETL DWH Big Data Engineer

Moscow
You can open access to the talent’s contacts for only 5 euro!

Location:

Moscow

Birthday date:

03/09/1978

Experience level:

More than 5 years

Education level:

Bachelor

Languages:

Russian: Native

English: B2

Serbian: A1

About

IT professional with vast experience in data pipelines, databases, SQL, programming
Internet services.
Specialise in developing robust data pipelines, developing and optimising database
queries, modelling data.
Deep understanding of SQL.
Strong experience with ETL, data modelling and data integration.
Strong problem-solving abilities combined with excellent communication skills make me a
valuable asset to any team.
Speak English (B2) and German (A2).
Run my blog about Apache Spark and Big Data on LinkedIn.
Always eager to learn new technologies and improve existing processes.
Take the initiative in projects.

Work experience

Data Engineer

Neoflex Ltd, Russia

2024-present

• Design and develop scalable ETL pipelines using Apache Spark and Python
• Optimise complex SQL queries, resulting in improved performance and reduced
processing time
• Ensure data integrity and quality through rigorous testing and validation processes

Stack: SQL, Python, Apache Spark, pyspark, Apache Flink, Hive
Tools: Jupyter Notebook, Apache Hue, MS Visual Studio Code, Confluence

Education:

South Ural State University, Russia

Faculty: Economic

Specialisation: Computer Science

Graduation year: 2001

Key skills:

Technical Skills
• Big Data: SQL, Apache Spark Development, Spark Streaming, pyspark, Apache
Flink, Hive, S3
• Databases: DWH Modeling, MongoDB, Vertica, Redis, PostgreSQL, Oracle
• Business Intelligence: Tableau, Oracle BI, Metabase
• Programming: Python, C#, PL/SQL
• Data Visualisation: Seaborn, dash, matplotlib
• DevOps: Docker, Kubernetes, kubectl, Helm, kcat, Git
• Monitoring: Prometheus, Grafana
• Others: dbt, Datalakes, ETL pipelines, NoSQL databases, Kafka, Airflow