Junior Data engineer
Send a job offer directly to this candidate
With a foundation in operations management and a strong passion for data, I’m pursuing an MS in Business Analytics at Fordham University. I hold the Google Data Analytics and AWS Data Engineering certifications, with hands-on experience in SQL, data visualization, and building cloud-based data pipelines. I’m seeking a summer internship to apply my skills in ETL, cloud architecture, and analytics as I transition into a data engineering role
Data Engineering & Analytics Professional | Cloud | ETL | Process Optimization
Transitioning Logistics & Operations Leader with a strong background in data-driven process improvement, cross-functional collaboration, and supply chain analytics. Proven track record in leveraging Lean Six Sigma, performance metrics, and business intelligence to optimize operations, enhance quality, and drive efficiency. Currently upskilling in cloud computing, data engineering, and machine learning to pivot into technical roles.
Led data-driven improvement initiatives by analyzing quality, production, and customer feedback data, identifying inefficiencies, and implementing corrective actions.
Applied Lean Six Sigma methodologies to optimize processes, improving product quality and reducing waste.
Developed performance-based training programs, tracked via metrics, leading to a 23% increase in customer satisfaction.
✔ Emerging Data & Cloud Engineering Skills
ETL Pipelines: Building expertise in data extraction, transformation, and loading (AWS, SQL, Python).
Cloud Data Solutions: Certified in AWS Data Engineering & Cloud Foundations, with hands-on experience in cloud-based data storage & processing.
Business Analytics: Master’s in Business Analytics, with applied knowledge in predictive modeling, data visualization (Tableau), and SQL.
📜 Google Data Analytics Certification
📜 AWS Academy Data Engineering
📜 AWS Cloud Foundations Certification
Master of Science in Business Analytics (MSBA), Gabelli School of Business
My MSBA program provides a strong foundation in data analytics, equipping me with skills in artificial intelligence, business analytics, data engineering, and statistical analysis. The curriculum emphasizes programming for analytics, data science, and DevOps engineering, enabling me to extract insights from big data, business performance metrics, and unstructured information sources like web and text content. Through this program, I have developed proficiency in data preparation, modeling, coding, and applying analytical tools to solve business challenges while understanding the managerial aspects of analytics
