Ioane Gvania

Data Engineer with 4 years of experience helping teams turn raw data into reliable insights. I specialize in building scalable and efficient ETL pipelines using DBT and Azure Data Factory, and I enjoy creating APIs and automation solutions that make data easy to access and use. I’ve worked on hashing sensitive data to keep information secure, led end-to-end data migration projects with smooth, zero-downtime transfers, and maintained multiple data marts to keep analytics teams fully supported. I also focus on data quality and validation, optimize SQL and PySpark workflows, and introduce tools like Dremio to improve how teams work with data