Visionary and experienced Data Engineer with a proven track record of leading and collaborating with cross-functional teams to deliver high-impact data projects. Possessing 9+ years of experience in data engineering, business intelligence engineering, and business analysis, I have a deep understanding of the full lifecycle of data projects. Adept at driving innovation, improving performance, and exceeding customer expectations, I am now seeking a leadership role where I can leverage my skills to guide a team towards success and drive company-wide growth. With a strong commitment to personal and professional development, I am eager to take on challenging, influential projects that push me to expand my scope and make a lasting impact.
As a Data Engineer at Amazon, I utilized my technical skills to deliver impactful projects that optimized data pipelines, managed multiple AWS accounts and Redshift clusters, and ensured data privacy compliance. I was responsible for driving significant reductions in processing time for data pipelines, increasing team efficiency, and identifying infrastructure cost savings. My work also led to improved security, stakeholder satisfaction, and work output. Additionally, I created dashboards, reports, and automated deployment processes to support the team's success and achieve successful outcomes. Throughout my projects, I leveraged my expertise in SQL, AWS, and other internal tools and technologies to optimize the team's data management processes.
As a Business Intelligence Engineer at Amazon, I leveraged my technical skills in SQL, QuickSight, Excel, and AWS to enhance the accuracy, consistency, and quality of data and reports. I automated manual processes, migrated a custom data lake to a more sustainable, AWS-based solution, and provided recommendations to ensure a smooth platform transition for driver behavior tracking. My work resulted in improved efficiency, security, and stakeholder satisfaction, and played a critical role in expanding important programs and making data management systems more performant and scalable.
As a DE/BIE at Crowd Cow, I worked on projects aimed at improving the company's data ecosystem and decision-making processes. My responsibilities included creating and maintaining data models, designing and building data warehouses, and configuring Looker's LookML for business intelligence engineers and users to create dashboards and self-serve reports. I also worked on projects such as customer segmentation, inventory reporting, carrier analysis, and a daily business review dashboard. My work relied on various technologies, including SQL, DBT, TensorFlow, Python, Excel, and Looker, and resulted in improved efficiency, accuracy, and decision-making, leading to increased productivity and company growth.
As a Data Engineer at Lowe's Canada/The Mine, I applied my technical skills to enhance the overall data management and reporting processes. I created new data pipelines, automated Excel dashboards, and designed and implemented a new data warehouse. I ensured data accuracy and consistency, improved the efficiency and usability of the reporting system, and maintained data privacy compliance. My work resulted in reduced processing time for data pipelines, improved security, stakeholder satisfaction, and work output, and relied on SQL, Data Warehouse Design, Python, and other related technologies to drive successful outcomes and enhance the company's data management processes.
As a Business Intelligence Engineer (BIE) at The Mine, I leveraged my technical and analytical skills to improve the efficiency and quality of data reporting. I created an Excel dashboard to track KPIs, streamlined the reporting process for business development teams, and created a macro-enabled excel template for report standardization. I used SQL, Power Query, VBA, and Excel to extract, transform, and load data, create visualizations, and streamline reporting processes. My work resulted in daily executive team viewing of KPIs, significant time savings for business development teams during vendor audits, and reduced time for creating new dashboards and reports for the BI team, leading to improved productivity and efficiency.
As a Business Development Analyst at Lowe's Canada (as it pertains to my current career as a DE/BIE), I used my technical and analytical skills to improve the efficiency and effectiveness of data analysis and reporting. I created a web scraping script to collect brand data from competitor websites, developed a sales data set to enhance performance reporting for the Canadian platform, and built a PHP web application for cross-border program onboarding. I utilized Python, Selenium, Excel, SQL, HTML, CSS, jQuery, PHP, and MySQL to provide meaningful insights and streamline processes. These projects led to an increase in brands I managed, more comprehensive and accurate metrics for Canadian vendors, and higher brand onboarding in the cross-border program, resulting in enhanced data analysis and reporting capabilities and a thriving cross-border program.