Carol Banal

About

1 year work experience in Backend and Data Engineer with experience building data pipelines, backend APIs, and automation-driven systems. Skilled in designing workflows that handle data ingestion, normalization, validation, and transformation reliably. Core Skills ? Python, FastAPI, REST APIs ? ETL / ELT pipelines and structured data processing ? SQL, PostgreSQL, MongoDB ? Docker, AWS, Linux, Git ? Celery, Redis, background workers, workflow automation ? Debugging, logging, and production issue analysis Experience Highlights ? Built multi-stage data pipelines with validation and quality-control layers. ? Developed backend services that process structured business data through API-driven workflows. ? Deployed and maintained containerized systems in cloud environments. ? Implemented RAG and automation logic to improve reliability and system stability. Google Data Analytics Certified.Portfolio: https://carolbanal.netlify.app (due for an update)

Skills

Experience