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FIG. 01 — JUNIOR DATA ENGINEER · PRAGUE, CZ

Data pipelines, built to reach production

SIGNED:SINO SAFAROV

I build ETL pipelines and SQL analytics that run on a schedule — not just in notebooks. Based in Prague, heading into the Business Intelligence master's at VŠE, and ready for a junior Data Engineering / BI role.

ROLE:

View projects Download CV

SECTION A—A · PROFILE

About

    2021–2025

    BSc Applied Computer Science

    Russian-Tajik Slavonic University

    Algorithms, databases, four years of Python and SQL.

    2025–2026

    Relocation & entrance exams

    Prague

    Passed VŠE entrance exams, pushed Czech to B2 — while shipping two data projects end to end.

    2026–2028

    MSc Business Informatics · BI● NEXT

    VŠE Praha, FIS

    Business Intelligence specialization. Starts WS 2026/27.

CURRENT FOCUSJUL 2026
  • deploy: JobRadar → Railway, 24/7 uptime
  • sql: Olist cohorts · window functions · RFM
  • prep: VŠE Data Engineering coursework
LANGUAGES
RUNative
CZB2
ENB2

SECTION B—B · ASSEMBLY DRAWINGS

Projects

DWG-001MVP READY · DEPLOYING TO RAILWAY

JobRadar

jobradar_prague_bot

Telegram bot that scrapes junior Data Engineering / BI vacancies from Jobs.cz and StartupJobs.cz, deduplicates them into PostgreSQL and delivers a daily digest. Containerized with Docker.

  • Two scraping strategies: static HTML parsing (Jobs.cz) and JSON API (StartupJobs)
  • PostgreSQL storage with deduplication and Alembic migrations
  • Daily digest on a cron schedule via Telegram Bot API
PythonPostgreSQLDockerTelegram Bot API
Source
DWG-002COMPLETE
SELECT customer_state,
       AVG(delay_days) OVER (
         PARTITION BY customer_state
       ) AS avg_delay
FROM   delivered_orders;

ecommerce-sql-analysis

Olist dataset · PostgreSQL 17

SQL deep-dive into the Olist Brazilian e-commerce dataset: revenue trends, delivery performance and repeat-purchase behavior. Pure SQL — CTEs, window functions, indexing.

  • Normalized 9-table schema loaded into PostgreSQL 17
  • Cohort and delivery-delay analysis with window functions
SQLPostgreSQL 17
Source
// more experiments, notebooks and SQL drills on GitHub

SECTION C—C · BILL OF MATERIALS

Skills

Languages & Querying

  • SQL
  • Python

QTY: 2

Data Engineering

  • ETL pipelines
  • PostgreSQL
  • Docker
  • Alembic

QTY: 4

BI & Analytics

  • Data modeling
  • Reporting
  • Cohort analysis

QTY: 3

Tools

  • Git
  • scikit-learn

QTY: 2

SECTION D—D · SPECIFICATION

Education

EDU-0012026–2028

MSc Business InformaticsENROLLED

VŠE Praha — Faculty of Informatics and Statistics (FIS)

Specialization: Business Intelligence. Prague University of Economics and Business, start WS 2026/27.

KEY COURSES

  • Data Engineering
  • Digital Transformation
  • Innovation in Business Informatics
EDU-0022021–2025

BSc Applied Computer Science

Russian-Tajik Slavonic University

Core CS: algorithms and data structures, databases, software engineering. Thesis built on Python + PostgreSQL.

KEY COURSES

  • Databases
  • Machine Learning Basics
  • Software Engineering
OPEN TO WORK · 2026

SECTION E—E · CONTACT

Hiring for a junior data role in Prague?

I can start contributing to your pipelines while I study. Email is fastest — I reply within 24 hours.

sino.safarov.dev@gmail.com LinkedIn GitHub