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.