About

Maddie (Mansoureh) Izadi is a highly skilled and experienced data engineer with over 10 years of experience in the IT industry. She has a proven track record of conducting reporting and data analytics to provide insights that drive organizational objectives. Maddie earned a Certificate in Data Analytics and Visualization from Rice University and a bachelor's degree in Computer Science. With demonstrated success in building complex scripts and queries, Maddie is adept in programming languages, databases, and operating systems. She is a proven leader with expertise in collaborating in the planning, design, development, testing, and deployment of ERP and solutions. Maddie has five years of collective experience serving as an Abap, SAP Business Intelligence, and SAP business objects developer. Maddie's programming language skills include VBA, C#, ABAP, Python, SQL, R Programming, HTML, and JavaScript. She has experience using analysis tools such as Jupyter Notebook, R Studio, Advanced Excel, MS Project, Eclipse Juno, SAP ECC, and SAP BusinessObjects. Maddie also possesses excellent visualization skills and has worked with tools such as Tableau, Power BI, d3.js, ggplot2, Matplotlib, Seaborn, and Bokeh. Her expertise in databases includes Oracle, Microsoft SQL Server, PostgreSQL, and MongoDB. Maddie has also worked with cloud platforms such as Microsoft Azure, AWS, and Snowflake. Currently, Maddie works as a Senior Consultant at Capco Energy Solutions. She has previously worked as a Data Engineer at Accenture and as an SAP Advanced Business Application Programming Developer at Mapna Turbine Blade Eng. & Mfg. Co. - Parto. Maddie's education history includes a Bachelor's degree in Computer Software Engineering from Azad University (IAU) and a Master of Business Administration (MBA) from the Industrial Management Institute. Maddie's technical skills include SQL, Data Engineering, Javascript, AWS, Jupyter, Seaborn, Snowflake, Python, MongoDB, and Azure. With 14.37 years of relevant experience, Maddie is a valuable asset to any organization looking for a skilled and experienced data engineer.