Experienced Data Engineer with 5 years in IT, currently pursuing a Master’s in Data Science at the University of Surrey. Expertise lies in transforming complex datasets into actionable insights and optimizing data pipelines. Proficient in advanced SQL, Python, and machine learning, with hands-on experience in AWS (Data Pipeline, S3, DynamoDB) and data visualization tools. Strong skills in R and Microsoft SQL Server, with a proven ability to adapt quickly to new technologies and environments. Passionate about data-driven solutions and dedicated to leveraging skills to deliver impactful, innovative results.
Oracle SQL Certified Associate
Certified Analytics Professional (CAP)
Google Data Analytics Professional Certificate
Led Data Pipeline Optimization – Successfully designed and implemented a highly efficient data pipeline, reducing data processing time by 40% and saving the company significant amount annually.
Outstanding Collaboration in Cross-functional Teams – Collaborated closely with business and engineering teams to deliver data-driven insights, improving operational efficiencies and contributing to a 20% rise in overall productivity.
Innovation Award for Data Infrastructure Enhancement – Awarded the company's Innovation Award for developing an automated ETL workflow that streamlined data integration, resulting in a 30% increase in data processing accuracy and efficiency.
Award for Application Performance Optimization – Spearheaded a project to optimize a critical application's performance, which decreased load times by 50% and significantly enhanced user experience.
I hereby declare that the information and details provided in this resume are correct and inclusive to the best of my knowledge and belief.