Building data pipelines, AI-powered tools, and automation systems

📍 Dnipro, Ukraine  •  🎯 Mentor @ own practice  •  🏢 Data Analyst @ Game Outsourcing Studio

class DataEngineer:
    specializations = {
        "data": [
            "SQL (PostgreSQL, MySQL, Oracle)",
            "ETL Pipelines & Apache Airflow",
            "Apache Spark & MinIO",
            "Oracle Data Integrator",
        ],
        "automation": [
            "Anthropic API & AI Agents",
            "Apify Web Scraping",
            "Zoho CRM Integration",
            "Telegram Bots (aiogram)",
        ],
        "infrastructure": [
            "Docker & Docker Compose",
            "Apache Airflow",
            "Railway / Google Cloud Run",
            "Arch Linux (btw)",
        ],
    }

    current_projects = {
        "crm_verifier":   "CRM contact verification via LinkedIn + Anthropic API",
        "zoho_parser":    "GamePressure parser integrated with Zoho CRM",
        "ai_pipeline":    "Multi-agent pipeline: call transcript → technical spec → Claude Code",
        "tg_bot":         "Telegram bot interface for async data ops",
    }

    goal = "Google SF by 25 🌁"

Reads Zoho CRM contacts → verifies employment via LinkedIn (Apify) → re-links & notifies

• 🤖 Anthropic API for intelligent matching & disambiguation
• 🔄 Apache Airflow orchestration with idempotency & dry-run support
• 🐘 PostgreSQL with priority queue and audit logging
• 📬 Telegram bot interface for operator notifications

Scrapes game data from GamePressure and syncs it into Zoho CRM automatically

• 🌐 BeautifulSoup + async Python scraper
• ⚡ Caching layer to avoid redundant requests
• 🔗 Full Zoho API integration

Converts informal call transcripts into structured technical plans ready for Claude Code

• Agent 1 — Requirements extraction
• Agent 2 — Critic & gap analysis
• Agent 3 — Architecture design
• Agent 4 — Task decomposition → CLAUDE.md

Data & Analytics

Engineering

AI & Scraping

OS & Tools

• Data Engineering — ETL design, Airflow DAGs, data quality, deduplication logic, fuzzy matching
• AI Integration — Anthropic API, multi-agent pipelines, prompt engineering, Claude Code delegation
• CRM & Automation — Zoho CRM, LinkedIn data enrichment, async Python workflows
• Analytics — Tableau dashboards, SQL query optimization, Oracle DI
• Infrastructure — Docker, cloud hosting (Railway, GCP), Telegram bot backends
• Mentorship — Teaching data analysis fundamentals, SQL, Python, ФОП practice

💡 Open to interesting projects at the intersection of data, automation, and AI.
Long-term goal: Staff Data Engineer @ big tech 🌁