Aug 2023 – Oct 2024 · 1 yr 2 mos

• Owner of Data Collection for AB testing platform, processing 500M+ daily events and supporting data-driven decisions across product teams.
• ➤ Designed and implemented an internal data lineage solution using SQLGlot, integrating metadata from Airflow logs, SQL history on Trino tables, and Spark to improve data discoverability across the organization.
• ➤ Enhanced system stability and implemented new statistical analyses while maintaining high-performance processing of large-scale event data.
• ➤ Applied code simplifications to improve readability and maintainability, reducing onboarding time for new team members and accelerating issue resolution.
• ➤ Achieved 95% stability for AB testing data delivery, with remaining issues primarily stemming from user-defined content such as suboptimal partitioning strategies.

Apr 2022 – Present · 3 yrs 11 mos · Vilnius, Vilniaus, Lithuania

• Multi-channel data engineering content creator with 150K+ lifetime article views, 6,300+ podcast streams, and 10,000+ YouTube views, focusing on modern data architecture, ETL best practices, and technical leadership.
• ➤ Publishing high-impact data engineering articles across Medium and Substack, with viral hits including "Is it the end for Apache Airflow?" (31K+ views) and "Oh, my dbt (data build tool)" (29K+ views).
• ➤ Creating "The Mindful Data Engineer" series achieving 55%+ average open rates, consistently outperforming industry engagement standards.
• ➤ Hosting specialized podcast episodes featuring industry leaders in data engineering, generating 328+ hours of listener consumption time.
• ➤ Producing educational YouTube content with 813+ hours of audience watch time, delivering practical data engineering tutorials and insights.
• ➤ Cultivating a professional community through consistent, high-quality content on data architecture, pipeline optimization, and technical leadership strategies.

Mar 2022 – Jun 2023 · 1 yr 3 mos · Vilnius, Vilniaus, Lithuania

• Led architecture and development of enterprise Data Warehouse supporting 150+ users across Europe, while building and managing a cross-functional data team of 10 professionals across 4 locations.
• ➤ Built and scaled the data team from 5 to 10 members across three specialized functions: Analytics (6), Engineering (3), and Data Visualization (2), with dedicated team leads (led DE part myself).
• ➤ Personally designed and implemented the initial data pipelines and entire data stack, establishing the foundation for all subsequent data work.
• ➤ Optimized cloud infrastructure costs by 40% through right-sizing, query optimization, and workload scheduling.
• ➤ Established documentation practices using dbt, creating clear data definitions and transformation standards.
• ➤ Defined onboarding processes and technical standards that accelerated team integration and knowledge transfer.

Jun 2021 – Mar 2022 · 9 mos

• I was one of the key people in the migration from Redshift to Snowflake. Also, I Unified data infrastructure, enabling scalable analytics for 100+ business users.
• ➤ Led a team of 4 engineers responsible for central data warehouse servicing 150+ daily users across different departments.
• ➤ Successfully executed migration from Redshift to Snowflake, ensuring system stability and continuity throughout the transition.
• ➤ Unified three separate Airflow environments into a single cohesive platform, minimizing Jenkins dependencies and improving operational efficiency.
• ➤ Championed local development environment usage and established coding best practices, improving team productivity and code quality.
• ➤ Designed data infrastructure with scalability in mind, ensuring systems could handle increasing data volumes without performance degradation.
• ➤ Provided technical mentorship and architectural guidance on pipeline design for the engineering team.

Feb 2020 – Jun 2021 · 1 yr 4 mos

• Led a distributed team of 14 Data Engineers across three countries (Lithuania, Ukraine, Israel), delivering data solutions that supported different products available to millions of users worldwide.
• ➤ Provided hands-on technical consultation, guidance, and mentoring to team members across multiple time zones.
• ➤ Developed and delivered a comprehensive PySpark training program adopted by 50+ engineers company-wide.

Sep 2018 – Feb 2020 · 1 yr 5 mos

• Developed and maintained ETL pipelines processing 10TB+ daily data, supporting critical business metrics and product analytics for 100+ internal stakeholders.
• ➤ Created high-performance ETL processes with PySpark, reducing processing time by 45% for critical business reports (in some cases, solutions were even 70% more effective).
• ➤ Developed complex SQL queries with Presto, enabling real-time analytics dashboards for executive decision-making.
• ➤ Automated repetitive tasks using Python, saving the team 20+ hours of manual work.
• ➤ Collaborated with product teams to implement tracking for key business metrics, improving data completeness by 35%.
• ➤ Participated in on-call rotation, ensuring 99.9% uptime for mission-critical data pipelines.

Nov 2016 – Aug 2018 · 1 yr 9 mos · Vilnius

• Designed and implemented Data Vault architecture for enterprise data warehouse, supporting financial reporting and internal analytics.
• ➤ Modeled enterprise data warehouse using Data Vault methodology, improving data integration from 5+ source systems.
• ➤ Created and maintained ETL packages processing financial and operational data for 10+ daily reports.
• ➤ Developed custom SQL scripts for specialized business requirements, reducing report generation time by 65%.
• ➤ Built an internal chatbot using Python for Google Chat, automating common data requests and saving 10+ hours weekly.

Feb 2016 – Nov 2016 · 9 mos · Vilnius

• ETL work is done using Informatica tool. Some unix scripting is involved. For a short period of time I was responsible for new Informatica tools (installation, configuration and support of Data Integration Hub and Data Quality tool).
• Daily tasks: support of existing mappings, new functionality adding, creating new mappings based on requirements.

Jul 2013 – Jan 2016 · 2 yrs 6 mos

• Tools used for development:
• SQL Server with all of its tools (2008, 2012, 2014)
• MS SharePoint 2010 foundation, 2013 and 2014 server edition
• MS PowerPivot
• MS PowerView.
• Data Mining tools
• MDX queries
• I developed and maintained several DWH (with ETL), OLAP cubes and reports.
• Projects were from different sectors: insurance, retail, health, finance.
• In almost all projects I was responsible for installations, architecture, data loading and integrity
• checking, support.

Nov 2012 – Jul 2013 · 8 mos

• I was responsible for tracking loss ratio of different insurance lines. Sometimes I did market analysis. One of most important tasks for me was preparation of various reports and analysis of given data. Work was done using MS Excel, mainly pivot tables.

Jul 2012 – Dec 2012 · 5 mos · Vilnius

• Main responsibilities - product pricing and looking after e-shop. Also for a short time i created banners for external marketing. I had to prepare various reports and track information about customer via google analytics. I had several ideas about promotions for our customers to sell more our products, which i think were very effective.