Data Engineer Β· Analytics Engineer Β· Backend Developer
Pipelines, Lakehouses, and Intelligent Systems
I build production-grade data infrastructure β Lakehouse architectures, ETL/ELT pipelines, and DWH systems. Beyond data, I develop backend microservices, set up observability stacks, and work with agentic AI systems.
- ποΈ Data β Lakehouse, DWH, streaming, analytics engineering
- βοΈ Backend β async APIs, task queues, monitoring
- π€ AI β agentic workflows, MCP development, AI Security
- π Open to remote & relocation
Spark - Kafka - Airflow - Dagster - dbt Core
ClickHouse - PostgreSQL - S3 - Lakehouse - DWH
GCP - Yandex Cloud - Python - FastAPI - Flask - Celery - RabbitMQ
Grafana - Loki - Superset - ELK
Agentic AI - MCP - Harness - AI Security
Docker - Kubernetes - GitHub Actions - GitLab CI/CD - Travis CI
Git - GitHub - GitLab - Jira - Confluence - Trello
I'm always open to discussing interesting challenges, open-source collaboration, or just chatting about stream processing and distributed systems.