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I will be your senior data and ai solutions architect
Data Engineer Airflow, ClickHouse, ETL AWS, GCP Python
I am a Data & AI Engineer and Cloud Solutions Architect with 11+ years of production experience. Designed 25+ data platforms across marketing, e-commerce, blockchain, and fintech. Author of the open-s...
About this Gig
I will give you clear, experience-backed answers to your Data Engineering, Cloud, and AI questions. No generic advice, just direct input from 11+ years in production.
I've designed and built 40+ data platforms for companies like Samsung, OMD, and Yandex. I'm the author of airflow-clickhouse-plugin (250K+ monthly downloads) and a 2025 AI Hackathon winner.
Bring your questions on:
- Data stack choices: storage, orchestration, ETL, streaming, and cost trade-offs.
- Cloud architecture: AWS vs GCP, platform design, migration planning.
- Applied AI: LLM pipelines, RAG vs fine-tuning vs prompting, AI agents.
- AI-assisted coding: tools, workflows, and code quality with AI.
After our session you get:
- Clear recommendations for your stack and context.
- A written summary with key points and next steps delivered within 2 business days.
Please share your questions in advance when booking so I can prepare and make the session more valuable.
TIP: Need a full architectural proposal or implementation? That's a separate Gig I also offer.
FAQ
What’s the difference between this consultation and a done-for-you project?
This Gig is for expert advice, technical decision-making, and Q&A. If you need architecture design, implementation, or a custom deliverable, please message me for a separate project.
What should I send before the call?
Please share your questions, current stack, project context, and any relevant links or diagrams. The more specific your input is, the more focused and useful our session will be.
What will I receive after the call?
You will receive a written summary with key recommendations, trade-offs, and suggested next steps within 2 business days.
Can we discuss AI, LLMs, RAG, or AI agents?
Yes. We can cover applied AI topics such as LLM architecture, RAG, prompting vs. fine-tuning, AI agents, and how AI fits into your existing data stack.
Is this a good fit for founders or non-technical buyers?
A perfect one! I can adapt the discussion to your background and help you evaluate options, vendors, and architecture decisions without unnecessary jargon.
