Dawid Szymaniak

Poznań, Poland

Dawid Szymaniak

Software Engineer

Engineer with 2+ years and a speciality in Python, building high-throughput ETL pipelines, asynchronous systems and scalable web applications. Recently promoted to Associate Engineer at Adverity for architectural ownership, leading FE/BE decoupling migrations and handling tier-1 enterprise escalations. Comfortable querying, monitoring and debugging data streams measured in terabytes a day.

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Experience

Adverity

Vienna, Austria · Remote

Associate Software Engineer

July 2026 — present

Current
  • Domain ownership & architectural migration

    Leading the architectural transformation of the JSON Forms core domain, decoupling legacy monolithic Django templates into a modern FE/BE architecture — setting integration standards, establishing design patterns and mentoring engineers through code review.

  • Production observability & escalations

    Escalation engineer for tier-1 enterprise accounts, using AWS Athena for ad-hoc SQL directly against live S3 data lakes to audit pipeline integrity and resolve high-severity incidents.

  • AI workflow optimisation

    Built custom AI developer workflows (Claude Code skills) tuned for complex JSON schema migrations, measurably raising engineering velocity across the team.

Adverity

Vienna, Austria · Remote

Junior Software Engineer

March 2025 — July 2026

  • High-throughput ETL pipelines

    Engineered and maintained fault-tolerant ETL workflows processing terabytes a day across a long tail of third-party REST integrations.

  • Asynchronous orchestration

    Designed distributed task flows with Celery chains and chords, with custom retry strategies, backoff and rate limiting to keep the system honest under load.

  • Monitoring & cloud operations

    Watched production health through Sentry and application telemetry, operating in AWS to troubleshoot and hotfix live issues.

Remedycine

Warsaw, Poland · Remote

Fullstack Software Engineer

June 2024 — March 2025

  • Real-time medical engine

    Built a fullstack medical application on Django, vanilla JavaScript and WebSockets (Django Channels) for instant sharing of results.

  • Data extraction & security

    Integrated OpenAI's API to parse unstructured medical results, with sensitive data protected using AWS KMS.

  • E-commerce & payments

    Integrated Stripe for checkout and subscription management.

Education

University of London

BSc Computer Science — Machine Learning and AI

London, England · Distance learning · 2026 — 2030

Languages

English
Native
Polish
Native

Skills

Python
TypeScript
Django
Celery
REST APIs
PostgreSQL
Redis
AWS Athena
Kubernetes
Docker
Sentry
CI/CD (GitHub Actions)

Want to talk?

The quickest way to reach me is email. I read everything, and I answer most of it.

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