Software Engineer with 8+ years of experience and a bachelor’s degree in Information Security. Technology- and language-agnostic. Familiar with highload and bigdata. Experienced in designing reliable, scalable, and maintainable systems.
Stack: Python, TypeScript, Google Cloud, Airflow, Apache Beam, dbt, ClickHouse, PostgreSQL
Achievements: Designed and implemented a high-performance, scalable solution for the collection,
processing, and indexing of data from diverse sources, enabling sophisticated aggregation analysis and rapid report retrieval in the sub-tens of milliseconds range.
This encompassed managing a multi-terabyte data layer, implementing a robust data pipeline, and delivering a blazing fast API.
Stack: KPHP, Python, Golang, Hadoop, Kafka, Memcached, and a lot of internal tools
Achievements: Launched classified ads for 75M MAU feed; built a product analytics pipeline for 500M+ daily events; optimized database cluster access (2x space, 40x RPC reduction); created a flexible marketing notification framework based on big data analytics.
Stack: Go, DynamoDB, AWS
Achievements: Designed and implemented a data-intensive cloud-native fintech prototype from scratch in 3 months by myself.
Stack: Python, Tornado, asyncio, Golang, PostgreSQL, ELK, ClickHouse
Achievements: Designed and implemented advanced cross-document full-text search; enforced zero-downtime database and search index migration techniques.
Stack: Python, Django, django-rest, Redis, RQ, PostgreSQL
Personal tasks: various web applications
Stack: Python, Django, django-rest, Celery, PostgreSQL, Sphinx
Personal tasks: Backend API; XML- & JSON-RPC 3rd party integrations; ETL system.