Passionate and results-driven Data Engineer, I leverage my skills in big data analytics, data architecture, and machine learning to translate complex data into actionable insights. With a Master's in Big Data Analytics from San Diego State University and experience from T-Mobile and KPMG, I have a track record of improving data processing efficiency, designing robust data pipelines, and enabling real-time data integration. My work includes migrating data architectures to AWS, developing user-friendly dashboards, and implementing machine learning models to optimize performance. I have proven experience in various cloud platforms, data warehousing, business intelligence, and DevOps engineering. I'm always seeking new challenges where I can make a significant impact through my analytical prowess and love for data. If you're looking for a skilled and driven data engineer to help take your business to the next level, connect with me today. Technical Skills: • Programming Languages: Python (Pandas, Numpy, Matplotlib, Seaborn, Sklearn, Keras), R, SQL, PLSQL • Databases: MySQL, NoSQL, SQL Server, BigQuery, Azure SQL • Data Engineering: Airflow, AWS Glue, EMR, S3, Spark Streaming, Lambda, dbt • Machine Learning: Pandas, Numpy, Scikit Learn, Keras, TPOT, Forecasting • Business Intelligence and Data Visualization: Tableau, Power BI, Alteryx, ArcGIS • Cloud Technologies: Google Cloud Platform (BigQuery, Dataproc, GCS, Cloud Composer), AWS (S3, EMR, EKS, Glue, Lambda), Azure • Project Management: JIRA, Confluence, Agile, Kanban, Scrum • Tools and Software: Jupyter Notebook, Microsoft Excel, Visual Studio, MATLAB, GitLab