Data Engineer | Google Cloud Certified Professional Data Engineer

I design and build cloud-native data platforms that power reliable analytical systems. My work spans scalable data infrastructure, distributed data processing, modern ELT architectures, and analytics engineering on Google Cloud. I am interested in advancing data engineering and AI for genomics, bioinformatics, and scientific computing.

Architecture Cloud-native Data Platforms Distributed Data Processing Scalable Data Infrastructure Lakehouse Architecture Big Data

Data Engineering ETL/ELT Data Pipelines Batch Processing Analytics Engineering Data Modeling Data Warehousing

Cloud & AI Google Cloud BigQuery Vertex AI Generative AI

Programming Python SQL

Infrastructure Apache Airflow Apache Spark Docker Terraform CI/CD

End-to-end genomic data platform for processing and analyzing more than 1.1 million GWAS variants through reproducible cloud-native data pipelines and infrastructure automation.

Technologies: dbt • Snowflake • Python • Apache Airflow •Docker • Terraform • GitHub Actions

• Google Cloud Certified Professional Data Engineer
• AWS Developer – Associate
• Oracle AI Foundations Associate
• AWS Certified Cloud Practitioner