About
Data Engineer and Full-Stack Developer
I work at both ends of a data platform: the warehouses that refine data, and the production backends that generate it. Having designed the schema an application writes into, I know why a column is nullable and where the dirty rows come from.
I take the whole thing: API, schema, interface, and keeping it online after launch. The newspaper project went from an empty database to a product editors and readers use every day, then to a team who run it on their own.
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Languages
- Uzbek
- English
Experience
Full-Stack Developer (Freelance)
Tong Yulduzi
- Built the FastAPI backend and PostgreSQL schema for a national newspaper: REST APIs for articles, media and the issue archive, with SQLAlchemy models and Alembic migrations.
- Built article search across the whole issue archive on PostgreSQL full-text search, using tsvector columns with GIN indexes and ts_rank, tuned so the article people wanted came up first instead of the newest one.
- Made pages load faster by caching the most-read ones in Redis and adding the indexes slow queries were missing, measuring timings before and after each change instead of guessing.
- Built the reader-facing site and the editors publishing tool in Next.js from the agreed designs, and made both work properly on the phones most readers come from.
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- Added role-based accounts (writer, editor, admin) with JWT auth, so the editorial team runs the paper without needing a developer for daily work.
- Set up GitHub Actions deployment: pytest against a throwaway database, a Docker image build, and automatic rollback if the health check fails.
- Scheduled nightly encrypted backups stored away from the server and ran a full restore rehearsal to prove the archive cannot be lost.
Data Engineering Intern
Itransition
- Built an end to end data warehouse in Microsoft Fabric, moving raw data through cleaning and transformation into a curated, analysis-ready gold layer.
- Orchestrated ingestion with Fabric Pipelines and Dataflows, and used Fabric Notebooks (PySpark, Pandas) to clean, transform and validate data between layers.
- Designed a star schema for the gold layer and built the Power BI dashboards reporting on top of it.
- Wrote a Python client to pull time-series data from InfluxDB into the pipeline.
Skills
Backend
- Python
- FastAPI
- SQLAlchemy, Alembic
- REST API design
- JWT auth and role-based access
- Celery
- Django
- pytest
Data engineering
- Microsoft Fabric (Pipelines, Dataflows, Notebooks)
- Medallion architecture (bronze, silver, gold)
- Star-schema design
- PySpark
- Pandas
- Great Expectations
Databases
- PostgreSQL schema design
- Indexing and query tuning
- Full-text search (tsvector, GIN, ts_rank)
- Redis
- InfluxDB
- Delta Lake
Frontend
- Next.js
- React
- TypeScript
- Responsive UI built from design files
Platform
- Docker and Docker Compose
- Nginx
- GitHub Actions (CI/CD)
- Linux servers
- Git
- AWS Certified Cloud Practitioner
Reporting
- Power BI
- SQL
- Power Automate
Credentials
- Commercial Software Development: Data Engineering
- Certified Cloud Practitioner Essentials
- Backend Developer Course