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GeBakaev/README.md

George Bakaev

I build data infrastructure for fintech, B2B SaaS, and investment teams.

Currently embedded as senior engineer at Fintent, where the platform I rebuilt processes over a billion data points a day on a fraction of the original cloud spend.

Independent practice at bakaev.dev.


What I work on

Pipelines, custom integrations, internal analytics layers, modern data stacks. Production volume, without the six-figure cloud bill.

Stack

Python, TypeScript with React, SQL. Some Go and C++ for the lower-level work.

Outside the day-to-day

Modern data stack tooling, MCP and agentic infrastructure, OSINT and open data systems, AI trends in fintech and investment workflows.

How to reach me

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  1. mcp-investment-data mcp-investment-data Public

    A Model Context Protocol (MCP) server exposing investment-data tools to LLM hosts like Claude.

    Python

  2. de-interview-kit de-interview-kit Public

    Timed data-engineering interview prep, in public; coding, SQL, and system-design write-ups with notes on tradeoffs, reliability, and cost.

    Python

  3. d6t/d6tflow d6t/d6tflow Public

    Python library for building highly effective data science workflows

    Python 947 71

  4. streaming-starter streaming-starter Public

    A minimal Apache Flink (PyFlink) streaming job on a Dockerized Flink cluster, built as the warm-start for a real-time market-data pipeline.

    Python

  5. django-real-estate django-real-estate Public

    A Real Estate Agent website build using HTML, CSS and Django.

    CSS 1