I turn raw, messy data into clean, reliable pipelines — grounded in strong SQL fundamentals, with hands-on experience in Python, Docker, and dbt. I'm actively building toward full data engineering roles, and I bring speed, curiosity, and careful attention to getting the fundamentals right.
I help businesses make sense of their data through clean, automated pipelines. Based in Kenya, open to remote and hybrid roles.
Featured projects:
Automated ELT Pipeline for Kenya Weather Data. Built a daily pipeline extracting data from a OPEN METEO API, transforming with dbt, and loading into Google big query. Scheduled with Kestra.
Skills: SQL · Python · dbt · Docker · BigQuery · Data Modeling (Currently deepening: Kestra/orchestration, Airflow, Spark, infrastructure as code)
Certifications:
ALX Africa — Data Analytics (completed)
DataTalksClub — Data Engineering Zoomcamp (completed)