I am a Data Engineer/Data Analyst with 10+ years of experience specializing in data modeling, analysis, and implementation of data warehousing solutions. My expertise includes transforming and mapping data from source to target database schemas, and ensuring data integrity through meticulous data cleansing practices. I have a strong background in AWS Cloud services, proficient in utilizing tools like EC2, VPC, S3, IAM, RDS, DynamoDB, and more, to build scalable and efficient cloud-based solutions.My experience extends to designing and deploying ETL workflows using Informatica Power Center and CDC, as well as leveraging Azure Data Factory for building robust data pipelines. I am adept at utilizing Azure Event Hubs, Functions, and Logic Apps for implementing event-driven architectures. My proficiency in Python, SAS Base, and Toad SQL enables me to automate workflows and perform complex data manipulations, contributing to streamlined data processing and accurate analytical results.Additionally, I have a comprehensive understanding of big data technologies, including Hadoop, Hive, Spark, Kafka, and more. I am skilled in Scala programming for scalable application development on the Apache Spark framework and have a deep knowledge of Hadoop architecture. My capabilities also include managing Snowflake resources, creating interactive visualizations with Tableau and Power BI, and designing efficient data models in QlikView. Furthermore, I am proficient in managing Git and GitHub repositories, ensuring seamless version control and collaboration.