Artem R.

I build and stabilize production data and AI systems - from SQL/ETL and cloud ingestion to schema-heavy integrations, document parsing, BI, coding-agent workflows, and database-driven automation. I'm a Senior Data Engineer with 8 years of hands-on experience across telecom, logistics, insurance, analytics, and international client projects. I work best where data is messy: multiple APIs and file formats, mismatched schemas, legacy databases, unreliable model output, limited test environments, and systems that need a clean handoff. I can help with: • Python and SQL ETL/ELT for APIs, files, databases, and warehouses • Data modeling, canonical schemas, mapping, entity reconciliation, validation, testing, and failure handling • PySpark and AWS Glue processing with Step Functions and Lambda orchestration • MSSQL, PostgreSQL, and Vertica engineering; SSIS, stored procedures, DWH, and reporting workflows • Databricks Asset Bundle jobs, isolated testing, and deployment handoff • Production AI workflows for document parsing, structured database output, database-context assistants, and deterministic quality checks • AI-assisted engineering with coding agents, code review, codebase analysis, engineering wikis, test generation, and validation • Looker, Tableau, and SSRS analytics for operations, quality, failures, and cost • pandas/Pandera validation and practical review tools for non-engineering users • Cross-system integration work using C#, mocked APIs, Go, and Bash when needed • Database-driven browser and social-media automation using PostgreSQL, Selenium, scheduling, retries, and multi-machine workers Representative experience includes building and supporting a multi-source insurance platform with Python/PySpark and AWS; owning a logistics MSSQL/ETL environment as the sole database engineer; working across a large telecom ETL/DWH estate; developing a solo insurance-document pipeline from PDFs to validated MSSQL records; packaging Databricks analytics jobs; analyzing production voice-agent quality, failures, and LLM cost; validating eligibility and emissions files; building a device-control application against a mocked hardware API; applying AI across coding, review, testing, validation, database-context assistance, and engineering wikis; and building a database-driven TikTok/social-media automation platform. I work independently from requirements and schema discovery through implementation, debugging, testing, review, documentation, demonstration, and handoff. I'm comfortable with English-language calls, workshops, screen sharing, and direct collaboration with remote clients. I'm available for long-term, full-time remote B2B work with EU and US time-zone overlap. A paid initial milestone is welcome. Send me the source formats, destination, current failure points, environment constraints, and acceptance criteria. I'll help turn them into a practical, testable production workflow.