Senior Data Engineer

Designed and improved dashboards, reports, and visualizations to give teams clear and timely insights. Worked directly with stakeholders to understand complex needs and deliver effective data strategies. Oversaw data models, warehouses, and integration processes to ensure accuracy, performance, and scalability. Monitored key data metrics and led regular reviews to maintain high data quality and trust. Mentored junior engineers and provided support to users on how to make the best use of data tools and reports.

Built and maintained dashboards, reports, and visualizations in a healthcare project with accurate, real-time data. Worked closely with business teams to understand their needs and turn them into clear data solutions. Managed data models, data pipelines, and storage systems to ensure smooth and accurate data flow. Checked data regularly to make sure it was correct and reliable for reporting and analysis. Helped team members and end-users learn how to use data tools and reports effectively.

Created an automated data pipeline to replace manual data collection, making daily tasks faster and more accurate in an E-Commerce project. Set up dashboards and report templates to help managers track weekly and monthly performance. Organized data from different sources into a single system to make reporting easier. Provided clear data insights to support business decisions and improve team efficiency.

Worked on supporting the company's mission to bring smart tracking and data solutions to the construction industry. Built an automated system to replace manual Excel work, making it easier to track and manage equipment data in one place. Designed simple dashboards and report templates to help project managers view key data clearly and on time. Provided insights from data to help teams make better decisions about equipment use and job site performance.

GPA of 3.7. Completed coursework in data warehousing, ETL processes, and data modeling, with hands-on experience using tools like Snowflake, Azure Logic Apps, Azure Data Factory, and Boomi to design data pipelines and ensure data quality.