I will build telegram bot for data automation, alert, notifications

L
lidiya_mk
L
lidiya_mk
Lidiya
build telegram bot for data automation, alert, notifications
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build telegram bot for data automation, alert, notifications
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build telegram bot for data automation, alert, notificationsbuild telegram bot for data automation, alert, notificationsbuild telegram bot for data automation, alert, notifications

About this gig

Looking for a rock-solid Telegram automation engineered with Python? I build professional, production-ready Telegram bots integrated with robust backends, databases, and AI engines. Whether you need an infrastructure alert system or an AI-driven automation tool, I deliver clean code that works flawlessly.

What I Build:

- Data Automation: Automated scrapers, aggregators, and data processors delivering clean results.

- AI Integrations: Advanced bots powered by OpenAI GPT and Gemini for smart text processing and analytics.

- Infrastructure Alerts: Real-time notifications, server status updates, and system crash alerts.

- Database Synced Backends: Bots connected to PostgreSQL, DuckDB, or external APIs with secure auth.

My Technical Stack: Python (Asyncio, Pydantic), PostgreSQL, DuckDB, OpenAI GPT-4o, Google Gemini, Docker, GitHub Actions.

Why Choose Me?

I do not use no-code builders. You get full source code ownership, production-grade architecture, and enterprise-ready stability.

Please message me to discuss your project requirements before placing an order.


  • Bot type

    • Customer Service & Support
    • News & Information Updates

  • AI engine

    • DeepSeek
    • Gemini
    • Open AI GPT
    • Grok
    • Claude.ai
    • ChatGPT

  • Programming language

    • Python

  • Tools & frameworks

    • Botpress
    • Rasa
    • Dialogflow
    • n8n

  • Platforms

    • Telegram

Get to know Lidiya

Lidiya

Data Automation Architect and ETL Specialist

  • FromKazakhstan
  • Member sinceFeb 2025
  • Avg. response time1 hour

  • Languages

    English
Raw data becomes reliable, automated pipelines that deliver consistent, actionable insights. Scalable systems built with Python, Apache Spark, and Apache Kafka support both real-time and batch processing. Workflows are orchestrated via Apache Airflow and deployed with Docker. Clean transformations using dbt and DuckDB, AI-powered analysis with OpenAI, and clear outputs through Streamlit dashboards. Reliable, production-ready, and built to scale.

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