Data Engineer focused on data collection, pipeline reliability, and data quality.

I build reliable systems that collect, validate, and deliver large-scale data for trustworthy insights.

Thanks for stopping by — always happy to connect and learn together.

Data Engineer passionate about building reliable data systems that handle messy, large-scale data.

Design and operate data pipelines, maintain web crawling systems, and ensure data quality & operational stability.

Focus on understanding data flow, automating repetitive tasks, and balancing performance with clarity.

Ownership, clear communication, continuous improvement, and treating failures as learning opportunities.

• Languages: Python, SQL
• Data Collection: Scrapy, Chromium-based automation
• Backend / APIs: FastAPI
• Databases: Relational & NoSQL databases
• Data Pipelines: Apache Airflow, Celery, batch processing
• Cloud & Infra: AWS-based environments (S3, Athena, Glue, Redshift), containerized workloads
• Collaboration: GitHub, CI/CD workflows
• Monitoring: Grafana

🕰️ I get my jam on during the evening!

🌞 Morning  	14     commits	░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░	0.90%
🌆 Daytime  	486    commits	███████████████████░░░░░░░░░░░	31.21%
🌃 Evening  	759    commits	██████████████████████████████	48.75%
🌙 Night    	298    commits	███████████░░░░░░░░░░░░░░░░░░░	19.14%