Senior Backend Engineer | Transitioning into Data Engineering → MLOps | Python, SQL, Snowflake
I’m a senior backend engineer with a strong data-oriented background, currently transitioning into Data Engineering and, in the longer term, MLOps.
My work revolves around building reliable backend systems, APIs and data pipelines using Python ecosystems. I care deeply about clarity, maintainability and systems that behave well in real production environments — not just in slides or demos.
- Languages: Python, SQL, Bash
- Backend: Django, FastAPI, Flask
- Data: Snowflake, ETL / ELT pipelines, analytical SQL, data modeling
- Infrastructure & Tooling: Docker, Git, Linux
- APIs & Integration: REST APIs, JSON-based services, internal integrations
- Architecture: API-first systems, service-oriented design, automation, data-driven backends
Here you’ll find a mix of backend services, data-related tooling and experiments.
Typical things I work on:
- Backend services with heavy data interaction
- Python + SQL pipelines for data processing and analytics
- REST APIs and internal services
- Automation scripts, CLI tools and operational utilities
- Proofs of concept around data platforms and data-centric architectures
Not everything is a polished showcase project. Some repositories reflect experimentation and learning in public, especially as I deepen my work with data platforms and pipelines.
- Deepening Data Engineering fundamentals
- Advanced SQL and analytical patterns
- Snowflake-based data workflows
- Backend services designed to support data & ML workloads
- Gradual move toward MLOps, with focus on production concerns rather than experimentation-only setups
- 💼 LinkedIn: https://www.linkedin.com/in/jaymetosineto/
- 🧑💻 GitHub: https://github.com/kalkehcoisa
I prefer calm systems, clear ownership and engineering decisions that age well.