For the HNDL Fleet Management graduation project, I designed data models and migration checks, then engineered a real-time ingestion pipeline for operational changes and telemetry. I modeled an analytical warehouse on TimescaleDB backed by Amazon S3, with aggregates for three operational KPIs.
I also built TidaLine, a maritime risk lakehouse pipeline using Spark, Iceberg, Debezium, and Redpanda, and FastFeast, a configurable ETL framework that loads a Snowflake star schema. My work spans data engineering and AI projects, supported by training in data management and a Microsoft Fabric Data Engineer Associate certification.
