Throughout my professional journey, I've collaborated with various clients, contributing to the expansion of their data infrastructure. I specialize in guiding the development of Data Warehouses on both cloud and on-premise servers. My involvement extends to develop comprehensive end-to-end analytics solutions, incorporating expertise in Data engineering, Data visualization, and Data modeling.During my tenure as a Data Engineer at Wawa, I played a pivotal role in designing, developing, and implementing cloud architectures dedicated to data warehousing.Skills:Programming: SQL, Python, Excel, Tableau, Power BI, R.Cloud Technologies: Azure Data Factory, Azure SQL databases, Azure Data storage(Data Lake), Azure Synapse, Databricks.Big Data: HDFS, Map Reduce, Kafka,Spark Streaming, Spark SQL.Statistical Methods: Hypothetical Testing, ANOVA, Time Series, Confidence Intervals, BayesLaw, Cross-Validation, Autocorrelation.Machine Learning: Regression analysis, Bayesian Method, Decision Tree, Random Forests, K-Means Clustering, KNN, and Azure ML Studio.