I am a Data & Backend Engineer passionate about building robust ETL/ELT pipelines, scalable Data Warehouses, and high-performance APIs. I focus on writing clean, maintainable code and translating complex business metrics into reliable data architecture.

Tech Stack

• Languages: Python 3.12, SQL (Advanced)
• Data Engineering & DWH: Apache Airflow, dbt (Data Build Tool), ClickHouse, MinIO/S3, ETL/ELT
• Backend Frameworks: FastAPI, Django 5, DRF
• Databases: PostgreSQL, ClickHouse, Redis, SQLite
• DevOps & Infrastructure: Docker, Docker Compose, Linux, AWS EC2, Git

Recent Work

• SoundChain Telemetry Ingestion: Designed and implemented a high-throughput streaming pipeline handling ~12,000 RPS. Utilized Redpanda (Kafka-compatible) for message queuing and asynchronous Python consumers for persistent storage in PostgreSQL. Focused on backpressure handling, data consistency, and minimizing write latency under heavy load.
• Poster Horeca Engine: A B2B SaaS backend for payroll automation in the restaurant industry. Built asynchronous Python pipelines to sync external POS data, implemented custom rate-limiting (Semaphore & exponential backoff) to handle strict API limits, and managed a schema-per-tenant PostgreSQL architecture.

Currently working on

• Building idempotent, fault-tolerant data pipelines and deepening my expertise in distributed OLAP databases under high load.

Connect with me

• LinkedIn
• edvardfrrw@gmail.com