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ABOUT ARTEM TSVIETKOV

AI & No-Code Automation Engineer

Data Architecture | Business Process Optimization | System Integration

SUMMARY

Automation specialist focused on building scalable, error-resistant operational systems. I replace
manual workflows with logic-driven automations using Make/n8n and robust data architecture. My
expertise lies in designing relational databases and integrating AI via API to handle complex data
parsing and decision support, ensuring systems run predictably without constant human oversight.

TECHNICAL SKILLS

• Automation & Logic: Make (Integromat), n8n, Zapier. Expert in Webhooks, JSON parsing,
Iterators/Aggregators, and Error Handling logic.

• Data Architecture: Designing relational models (Airtable/SmartSuite/SQL-logic), ensuring data
integrity, defining primary/foreign keys and dependencies.

• AI Implementation: OpenAI API / Anthropic API integration, prompt engineering for structured data
output, building autonomous agents for text analysis.

• Analytics & Reporting: Advanced Google Sheets (Query/Regex), converting raw data into
Dashboards, tracking logic (UTM, ROAS, LTV calculations).

PROFESSIONAL EXPERIENCE

Business Process Automation & System Architecture

Contractor / Consultant

Marketing & Sales Infrastructure

• Built end-to-end data pipelines consolidating metrics from Ad Platforms (Meta/Google) and CRMs
into a single source of truth.

• Automated daily reporting, eliminating manual data aggregation and reducing reporting lag from
days to real-time.

• Designed a UTM tracking architecture that ensures data consistency across all traffic sources,
enabling accurate CPA/ROAS attribution.

Data Architecture & Database Design

• Migrated unstructured spreadsheet data into normalized relational databases, preventing
duplication and synchronization errors.

• Implemented strict data validation rules at the entry point to ensure high-quality data collection for
downstream automation.
• Created logical dependencies between operational entities (e.g., linking Projects to Clients and
Invoices), facilitating automated document generation.

AI & API Integrations

• Deployed AI agents via API to parse unstructured incoming inquiries, categorize them by intent,
and route them to the correct department.

• Utilized LLMs within automation scenarios to format and clean raw text data before entry into the
database.

• Connected disparate software ecosystems using custom API calls and JSON payloads where
native integrations were insufficient.

Operational Optimization

• Audited legacy workflows to identify bottlenecks and replaced fragile manual hand-offs with
automated triggers.

• Standardized operational procedures, translating "tribal knowledge" into hard-coded system logic.

TOOLS

Core: Make, n8n, Zapier, Google Sheets (Advanced).

Protocols: REST API, Webhooks, JSON.

AI Models: GPT, Claude (via API).