Senior Data Engineer with over 4 years of professional experience architecting and developing scalable data pipelines and ETL
processes, especially in AgTech, Digital Health, and M&E. I am very experienced in SQL and Python for querying and data manipulation.
Additionally, I am proficient in cloud-based data warehousing solutions (e.g., AWS Redshift, Snowflake) and orchestration tools (e.g.,
Prefect, Airflow, Airbyte). I've worked with dbt and possess strong experience with data visualisation (using Tableau, Looker, Superset,
Redash). I’m a problem solver, a good communicator, and an analytical thinker who enjoys collaborating with teams and has a talent
for translating technical concepts so non-technical stakeholders can drive a data-informed impact. I'm committed to building reliable
and efficient data systems, prioritising automation, data integrity, and long-term scalability.