Resume

Experience

2023 Oct - Present
ASML

Senior Data Engineer (Freelance)

Development of data processing products by using Python and Databricks:
• Tooling: Azure Databricks, EventHub, Docker, Kubernetes, Application Insights, WSL, Jupyter
• Coding: Python, PySpark, Pytest, HCL, Kusto SQL
• DevOps: Azure DevOps, Terraform, Bash

2022 Mar - 2023 Oct
Ahold Delhaize

Senior Python Data Engineer (Freelance)

Development of data processing frameworks using PySpark and Python:
• Tooling: Azure Databricks, ADLS, EventHub, Kafka
• Coding: Python, PySpark, Pytest, HCL, Kusto SQL
• DevOps: GitHub workflows, Terraform, Bicep

2021 Mar - 2022 Mar
ABN AMRO Bank N.V.

Senior Data Engineer (Freelance)

• Migration of a legacy Teradata solution to a cloud Data Mesh ecosystem
• Data Platform: Azure Databricks, Azure Data Lake, Apache Hive, Teradata
• Data Pipelines: Apache Airflow, Azure Data Factory
• Coding: Python, PySpark, SQL

2020 Feb - 2021 Mar
Rabobank

Azure DevOps / Database Engineer (Freelance)

• Azure DevOps Pipelines
• Automation of deployments (Azure and On-Premises)
• Cloud migrations – Azure SQL Database, Data Factory, Storage
• PowerShell modules development
• Measurements and telemetry (Azure Data Factory, SQL DB, Power BI)

2020 Jan

Founded "Alex Volok Consultancy"

2015 Jan - 2019 Dec
Exact Software B.V.

Senior BI / Database Engineer

• Configuration and technical maintenance of DWH environments
• Technical design and implementation of enterprise-grade Power BI
• Modernization and upgrade of legacy BI solutions
• Azure: Data Lake, Data Factory, SQL DB
• Many hours of T-SQL/SSIS/SSAS/Power BI

2009 Dec - 2015 Jan
Levi 9 Global Sourcing B.V.

Senior BI Developer/Data Architect

• Data warehousing – design, development (Kimball, DataVault)
• Integration of large amounts of data from various sources
• ETL processes design, implementation, tuning
• Guidelines, polices, specifications
• Technical lead of geographically distributed team

2008 - 2009
Daxx Soft B.V.

SQL Server DBA

• Query tuning and performance optimizations
• Logging and visualization of process flow for mission-critical services and common DBA Tasks
• Multi-terabyte data warehouse maintenance, optimization, migrations

2007 - 2008
AD Ukraine

SQL Server DBA

• DBA: disaster recovery, performance optimization
• SSIS: Custom cross-enterprise replication
• SSRS: Implementation, usage as a main reporting platform for services health checks

2005 - 2006
OOO RUSH

SQL Server DBA

• Performance monitoring and tuning
• Server Installation, configuration
• Development of Integration Services packages
• Development of Reports using Reporting Services

Certificates

2006 - 2022
Microsoft, Databricks

Vendor certification

2023 - The Databricks Certified Data Engineer Professional

2022 - The Databricks Certified Data Engineer Associate

2022 - The Databricks Certified Associate Developer for Apache Spark 3.0

2021 - Azure DevOps Engineer Expert, AZ-400 (Microsoft)

2020 - Azure Administrator Associate,AZ-104 (Microsoft)

2019 - Azure Data Engineer Associate, DP-200, DP-201 (Microsoft)

2018 - MCSD: App Builder (Microsoft)

2017 - MTA: Software Development Fundamentals (Microsoft)

2016 - MCSE: Data Management and Analytics (Microsoft)

2014 - MCSE: Data Platform (Microsoft)

2013 - MCSE: Business Intelligence (Microsoft)

2013 - MCSA: SQL Server 2012/2014 (Microsoft)

2012 - MCSA: SQL Server 2008 (Microsoft)

2011 - MCTS: SQL Server 2008, Database Development (Microsoft)

2010 - MCTS: SQL Server 2008, Business Intelligence Development and Maintenance (Microsoft)

2009 - MCITP: SQL Server 2008, Database Administrator (Microsoft)

2006 - MCITP: SQL Server 2005, Database Administrator (Microsoft)

2006 - MCTS: SQL Server 2005 Associate (Microsoft)

Education

2000 - 2005
DSAU

Accounting and Related Services - Bachelor of Science (BS)

Technologies

Azure Databricks / Apache Spark / PySpark

95%

Azure EventHub / Kafka / Spark Streaming

90%

Relational Databases

95%

GitHub Workflows / Azure DevOps / CICD

85%

Linux, WSL, Scripting

80%

Docker, Docker Compose

85%

Kubernetes

60%

Grafana / Azure Data Explorer / Log Analytics

80%

Coding Skills

Python (incl. OOP, Testing)

95%

PySpark

95%

SQL (Spark SQL, T-SQL)

90%

Bash / PowerShell

80%

Terraform (HCL)

80%

C#

65%