Experienced Software Engineer with 3 years of experience in JavaScript, Node, React.js, and MongoDB. Skilled in driving business outcomes through data engineering and building data pipelines in Kubernetes and Docker. Adaptable and creative with strong attention to detail. Holds diverse educational credentials including an IBM z/OS Pre-Apprenticeship and Treehouse Talentpath Tech Degree.
Executed the migration of data from Apache Airflow to GCS, GCP, and GCC using a Python program, enhancing cross-team data accessibility. This initiative reduced company issues by 36% and boosted revenue by 22%. Engineered a data monitoring bot to track data, alert teams on outdated data, generate tickets for new data, and notify teams on data sunsetting, leading to a 25% increase in team workflow. Develop and implement data security protocols to ensure the integrity and confidentiality of sensitive information.
Spearheaded the development and deployment of new backend infrastructure using Kubernetes and Docker, facilitating the setup of data storage containers. Established an end-to-end batch pipeline infrastructure in Python utilizing Apache Airflow and a stream Kafka programming structure in Java through M.A.L.T agriculture to BQH, enabling diverse teams to leverage data effectively. Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.