I am a Data Engineer at IBM with over 11 years of experience in Data Analytics across various sectors, such as finance, education, health, retail, and fashion. My mission is to leverage data to drive business insights, optimize performance, and support decision-making. I have a strong background in data engineering, data modeling, and big data, as well as certifications in AWS and Google Analytics.As a Data Engineer, I am responsible for designing, developing, and implementing scalable and efficient data processing solutions using a variety of tools, including AWS, GCP, Azure, Databricks, Apache Spark, Watsonx.data, Tableau, Power BI, and QuickSight. I work with data from different sources, such as APIs, databases, data lakes, and web analytics, and apply data transformation, cleansing, and validation techniques. I also use SQL, Python, R, and other languages and frameworks to perform data analysis, visualization, and storytelling, as well as machine learning and predictive modeling. I collaborate with other data professionals, stakeholders, and clients to deliver high-quality data products and reports that meet their needs and expectations.