Python | Data Engineering | Devops
I design and build intelligent data systems powered by Python.
I work with organizations, small teams, and individuals to automate data workflows, streamline backend operations, and transform raw data into structured, reliable assets. My focus is on building systems that reduce manual work, improve efficiency, and scale cleanly.
My expertise is structured around four core pillars:
Data Engineering & Automation
I develop ETL pipelines, API integrations, and data extraction systems that collect, clean, and structure information for operational or analytical use. I work with relational databases such as PostgreSQL and design workflows that ensure data integrity and reliability.
Backend Development
I build Python-based backend logic and automation systems that support applications and internal tools. From API-driven processes to database-connected services, I focus on clean architecture and maintainable code.
Software Development (Python Applications)
I develop functional software solutions using Python, including Kivy-based applications and internal productivity tools. My applications are built to be lightweight, efficient, and purpose-driven.
Linux & Deployment Foundations
Comfortable in Linux environments, I structure projects with deployment in mind. I understand system configuration, containerization fundamentals, and environment setup to ensure solutions run reliably beyond development.
I prioritize clarity, precision, and execution. Every solution I build is designed to be practical, scalable, and aligned with real operational needs.
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