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.
Oracle SQL Certified Associate
Certified Analytics Professional (CAP)
Google Data Analytics Professional Certificate