Rafael Khalikov
Data Engineer
Summary
Experienced Cloud Data Engineer with 7 years of expertise in developing and optimizing ETL/ELT workflows for efficient data processing. Specializing in cost-effective data transformation solutions using AWS, Kafka, Cloudera, Iceberg and NiFi. Adept at leveraging ETL tools to streamline large-scale data transitions into structured, manageable projects with optimized budgets and timelines. Well-versed in Big Data technologies, including Hadoop, Airflow, and Docker.
Overview
8
8
years of professional experience
5
5
years of post-secondary education
3
3
Languages
Work History
Senior Data Engineer
Admiral Sportwetten (sports.admiral.at)
08.2023 - Current
- Reengineered existing ETL workflows to improve performance by identifying bottlenecks, optimizing retrieval efficiency and reducing processing costs.
- I have extensive experience working with cloud solutions, particularly AWS and its native services, to build scalable, cost-efficient, and high-performance data pipelines using S3, EC2, Lambda and etc.
- Designed and implemented scalable data pipelines leveraging AWS, Kafka, and Cloudera to streamline data ingestion and transformation processes.
- Worked with Iceberg and NiFi to enable flexible, high-performance data lakes and integration workflows.
ETL Developer / Data Engineer
Gazprombank (www.gazprombank.ru)
10.2020 - 07.2023
- Woking with Big Data (Hadoop)
- Designed architecture for GEO Hadoop process in ELT projects
- Working with Python models in Docker
- Engaged in the creation and support of the DWH storage
- Working with ML as data engineer (MLflow + DVC)
ETL Developer/Data Engineer
SAS Institute (www.sas.com)
10.2018 - 10.2020
- Designed integration tools to combine data from multiple, varied data sources such as RDBMS, SQL and big data installations.
- Designed and created ETL process for ML process
- Collaborated with business intelligence staff at customer facilities to produce customized ETL solutions for specific goals (Anti-Fraud, Marketing).
Junior ETL Developer
Consyst-OC (www.consyst-os.ru)
07.2017 - 09.2018
- Directed data transformations and transitions data for enterprise reporting system
Education
Master of Science - Infocommunication Technologies And Communication S
University of Communications And Informatics
Moscow, Russia 09.2016 - 06.2018
Bachelor of Science - Infocommunication Technologies And Communication S
University of Communications And Informatics
Moscow, Russia 09.2012 - 06.2016
Skills
ETL steaming and batch processes
Cloud (AWS, Azure)
SQL (CTE, Stored procedures, Query tuning, Indexes, Partitioning)
Kafka
Hadoop, Impala, Hive, Oracle, PostgreSQL, MS SQL
Iceberg
NiFi
Python3 (Pandas, SQLAlchemy, Numpy, Jupyter)
Docker, Kubernetes
SAS Products (SAS DIS, SAS EG, SAS VA and etc)
Apache Airflow (DAG Development, Installation, Administration)
Mlflow (Development, Installation, Administration)
DWH Architecture
Git, SVN
Bash
Linux, Windows
Jira, Confluence
Timeline
Senior Data Engineer
Admiral Sportwetten (sports.admiral.at)
08.2023 - Current
ETL Developer / Data Engineer
Gazprombank (www.gazprombank.ru)
10.2020 - 07.2023
ETL Developer/Data Engineer
SAS Institute (www.sas.com)
10.2018 - 10.2020
Junior ETL Developer
Consyst-OC (www.consyst-os.ru)
07.2017 - 09.2018
Master of Science - Infocommunication Technologies And Communication S
University of Communications And Informatics
09.2016 - 06.2018
Bachelor of Science - Infocommunication Technologies And Communication S
University of Communications And Informatics
09.2012 - 06.2016
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