rabiya nisvi

At Rakuten, I worked on data observability pipelines in Azure Databricks, using Python to monitor data freshness, volume, and row counts. I created dashboards for data SLAs and anomalies, and set up monitoring on Delta Lake tables.

I also developed a Spring Boot REST API for QR code generation and UTC-to-JST conversion, and containerized it with Docker. For data validation, I configured Great Expectations suites to check CSV schemas, content, and column values.

My other work included configuring Open Metadata connections to Presto and PostgreSQL, querying migrated files in Couchbase, and writing and executing test cases for relocation and customer and service order management. I also built a smart farming academic project in C++ for live monitoring of temperature and soil moisture.