Contact information

You can get this candidate's contact information from https://www.work.ua/resumes/20143111/

Work experience

Senior Data Engineer

from 03.2023 to now (3 years 7 months)
Backbase, Remote (Finance, banking, and insurance)

Enterprise data platform modernization project focused on redesigning legacy data architecture into a scalable lakehouse platform supporting analytics, ML workflows, AI applications, and enterprise data management.
Redesigned legacy batch-processing architecture into a hybrid data platform supporting both batch and streaming workloads using Azure Databricks, Apache Spark, Kafka, and Delta Lake.
Built large-scale data pipelines using Python, PySpark, and Spark SQL for ingestion, transformation, incremental processing, and preparation of ML-ready datasets used by analytics and AI workflows.
Designed enterprise data models using Data Vault and dimensional modeling approaches, implementing Unity Catalog for metadata management, lineage tracking, data discovery, and governed access to data assets.
Developed data processing workflows around complex business entities, relationships, and policy-driven decision logic, supporting enterprise applications and analytical use cases.
Built Databricks deployment workflows using Databricks Asset Bundles (DAB), YAML, Git, and Azure DevOps to automate and standardize production releases.
Improved platform reliability and efficiency through Spark optimization, cluster tuning, automated validation, monitoring, and cost optimization initiatives.

Data Engineer

from 10.2018 to 02.2023 (4 years 5 months)
Chainalysis, Remote (Finance, banking, and insurance)

Large-scale blockchain analytics platform processing billions of transaction and event records to support intelligence products, analytics, and data-driven investigations.
Built distributed data pipelines using Python, SQL, Spark, and Airflow to process high-volume blockchain transaction and event data across large-scale analytical workloads.
Developed data processing workflows supporting entity analysis, relationship discovery, and intelligence use cases across complex interconnected datasets.
Designed and maintained cloud-based data solutions using GCP services including BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Dataproc.
Built analytical datasets and transformation workflows supporting ML applications, reporting systems, and downstream data consumers.
Optimized Spark and SQL workloads through partitioning strategies, transformation improvements, query optimization, and distributed processing techniques.
Implemented data quality checks, monitoring, and troubleshooting processes to improve reliability of production pipelines processing large-scale datasets.

Web software engineer

from 09.2013 to 11.2018 (5 years 3 months)
Luxoft, Remote (IT)

Developed backend applications and integrations for banking and financial systems. Worked on transaction processing, data exchange between systems, and database-driven applications.

Developed backend services using Java, Spring Framework, SQL, and REST APIs for financial applications supporting transaction workflows, business rules, and integrations with external systems.
Designed service components for order processing, validation workflows, and database operations.
Built integration services connecting enterprise applications through REST APIs, SOAP services, and database interfaces.
Optimized SQL queries, stored procedures, and application-level processing for transaction-heavy workflows.
Improved application stability through error handling, logging, automated testing, and production troubleshooting.

Knowledge and skills

• Communicability
• SQL
• Python
• Git
• HTML
• MySQL
• PostgreSQL
• C#
• MS SQL Server
• Programming