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As a Data-Intensive Engineer, I am versatile with the identification, selection, and development of efficient data systems and pipelines that allow seamless and secured movement of data across all processes to make data-driven decisions. I have managed data and business analytics tools that speak to the company’s needs and problems by utilizing them with data warehouses to facilitate efficient organization and access Over the years I have engaged myself in projects that bring together data science, data analytics, and data engineering; developed and maintained prediction systems that help to discover hidden insights and provide a better view of ways to solve problems that drive the company’s growth and stability. I am experienced in big data tools (spark, airflow, docker )and the use of data visualization techniques to present the results. I use SQL, Python, and cloud technologies (AWS, Azure & GCP) for my data projects and am very good at troubleshooting problems to arrive at solutions in a timely manner.
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