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Sofya F. Data Engineering, AI and ETL Platforms

My name is Sofya F. and I have over 0 years of experience in the tech industry. I specialize in the following technologies: ETL, ETL Pipeline, Artificial Intelligence, Machine Learning, Machine Learning Model, etc.. I hold a degree in Bachelor of Applied Science (BASc). Some of the notable projects I've worked on include: Automated Learning Progress Tracker (n8n, Telegram Bot, MongoDB), Content Automation ETL Pipeline (Python, NiFi, AWS S3), Corporate Knowledge Base API (RAG & Semantic Search). I am based in Temirtau, Kazakhstan. I've successfully completed 3 projects while developing at Softaims.

I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.

Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.

I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.

Main technologies

  • Data Engineering, AI and ETL Platforms

    0 years

  • ETL

    1 Year

  • ETL Pipeline

    1 Year

  • Artificial Intelligence

    1 Year

Direct hire

Potentially possible

Previous Company

Dashboards for company LLC

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Experience Highlights

Automated Learning Progress Tracker (n8n, Telegram Bot, MongoDB)

Goal: Automate student progress reporting via Telegram to eliminate manual support. Solution: Engineered an n8n workflow orchestrating data between Telegram, PostgreSQL (user profiles), and MongoDB (a

Content Automation ETL Pipeline (Python, NiFi, AWS S3)

Project: Educational Content ETL Pipeline (Apache NiFi) Task: Automate fetching, translation, and publishing of lessons to remove manual work. Solution: Built an ETL pipeline in Apache NiFi 1.23.0. •

Corporate Knowledge Base API (RAG & Semantic Search)

The goal was to build a Question-Answering (QA) API for internal company documents. I built the system using Python and FastAPI. It uses a RAG model. First, a SentenceTransformer model finds the corr

Education

  • Tomsk State University

    Bachelor of Applied Science (BASc) in Computer science

    2021-01-01-2025-01-01

Languages

  • English (Fluent)
  • Kazakh (Basic)
  • Russian (Native or Bilingual)