Sergey Lotnikov
I am a data and systems integrations and operations engineer and architect with a strong focus on ETL processes and project management.
About
I am a data and systems integrations and operations engineer and architect with a strong focus on ETL processes and project management. I enjoy building scalable cloud data platforms, leading teams, and collaborating with customers to deliver measurable value. I thrive on learning new technologies, solving complex data challenges, and enabling teams to move faster by simplifying data dependencies and automating workflows. Recently, I migrated legacy data warehouses to Databricks on AWS, implemented Row Level Security, and built an Automated Data Catalog using Python and Neo4j to map data dependencies and automate documentation.
I love gathering abstract requirements and turning them into concrete, maintainable solutions. My experience spans from on-prem to cloud, across multiple industries, with a track record of improving performance, reducing costs, and delivering reliable data platforms for decision making.
- 24 years' experience
- Joined January 2026
Skills· 17
Languages
- EnglishAdvanced
- PortugueseBeginner
- RussianFluent
Industry experience
- Media & Entertainment
- Telecommunications
- Software & Internet
- Professional Services
- Financial Services
Work experience· 7 roles
Led a team of data operations engineers maintaining cloud data platform; trained junior engineers on SOPs; onboarded 7 new team members. Resolved hundreds of data operations tasks using SQL, Spark, Talend, SSIS across Databricks, Teradata, Snowflake, MySQL, MSSQL, and Sybase.
Analyzed current architecture of data warehouses and ETL processes. Designed and implemented Data Firewall (Row Level Security) for corporate warehouse. Evaluated new features of Databricks cloud data platform; made improvement recommendations. Designed solutions in data engineering, data operations and devops to streamline data processing. Optimized workloads and reduced costs by identifying bottlenecks; achieved cost decrease of over $1000 per day. Participated in migration projects from legacy platforms to modern cloud, including ETL configurations rebuild. Participated in an international integration project to merge US and EU data processing into a single cloud data platform. Developed Automated Data Catalog using Python and Neo4j to map data dependencies and automate documentation.
Maintained complex data warehousing and data processing platforms across cloud and on-premises; conducted root cause analysis for data quality issues; designed runbooks to help maintain uptime; participated in migration of legacy on-prem systems to modern cloud platforms; built tools for metadata analysis to identify performance and cost trends; worked with Snowflake, Oracle, MySQL, AWS, Linux, Bash; collaborated with cross-functional teams to implement ETL changes; improved throughput and quality; reduced downtime in production.
Education
Certifications and awards
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