Data-focused Software Engineer specializing in scalable backend systems, data pipelines, and AI-driven solutions.
I design and build high-performance systems with a strong focus on data engineering, backend architecture, and applied AI. My work involves developing scalable data pipelines, ensuring data reliability, and integrating Generative AI to enhance data workflows and decision-making.
Driven by solving real-world problems, I continuously improve through hands-on experience and iterative learning, with a focus on building impactful and efficient systems.
- Designing and optimizing end-to-end data pipelines (ETL/ELT)
- Processing large-scale datasets using distributed systems such as PySpark
- Implementing data quality frameworks and validation systems
- Building scalable backend services and APIs
- Applying Generative AI and LLMs for data analysis, automation, and intelligent workflows
- Applying system design principles for reliability, scalability, and performance


