stacey onyango

I am a data and analytics engineer with over five years of experience in building scalable data pipelines and implementing machine learning models. My expertise lies in leveraging data-driven solutions to enhance business processes and facilitate informed decision-making. I have a proven track record of delivering actionable insights through advanced analytics, which has significantly improved operational efficiency in my previous roles.

At SKIMS, I designed and implemented event-driven streaming ETL pipelines in AWS, achieving a remarkable reduction in data latency by over 14 times. My work optimizing ETL pipelines in Snowflake and BigQuery led to a 93% decrease in data latency, while my development of CI/CD pipelines reduced code error rates by 25%. I take pride in mentoring team members and fostering a culture of technical growth, ensuring that our team consistently adheres to best practices.

Previously, I worked as an Analytics Engineer at merQbiz, where I optimized Python-based ETL processes, resulting in a 20% reduction in execution time. My contributions to the Sales team through the design of Tableau dashboards directly contributed to a 17% revenue increase. I am passionate about using data to drive business success and am eager to bring my skills to a new challenge.