Bassirou KANE

I’m a Data Engineer focused on designing scalable data workflows that turn raw inputs into clean, analytics-ready datasets. I build end-to-end pipelines for ingestion, transformation, validation, and quality assurance, with a strong emphasis on data integrity and reliability.

In my recent work, I designed and implemented an end-to-end pipeline for ingesting and processing large-scale aerial imagery datasets. I automated ETL/ELT workflows for cleaning, transformation, and validation, then orchestrated modular stages using ZenML to ensure reproducibility and maintainability.

I also integrate governance directly into the pipeline lifecycle. I use MLflow to implement tracking, versioning, and lineage for full traceability, proactively identifying and escalating data quality issues to maintain consistency across systems.

I bring cloud and analytics capability to every project, working with AWS and modern data platforms (Databricks, Snowflake) alongside SQL/NoSQL and scalable processing (Spark). I’m experienced with Airflow, Kafka, dbt, and Streamlit—always pairing strong engineering with clear documentation, knowledge sharing, and cross-functional collaboration.