I am a Data Engineer with over 9 years of experience in analysis, design, development, and implementation of data solutions across AWS and Azure ecosystems. I have extensive expertise in building scalable ETL pipelines using AWS Glue, Lambda, Kinesis, Azure Data Factory, and Azure Synapse Analytics. My experience includes developing data integration solutions, real-time data processing architectures, and leveraging cloud services such as Amazon Redshift, S3, Azure Stream Analytics, and Azure Functions.I have a strong foundation in big data technologies, including Spark, Hadoop, PySpark, and Kafka, and am proficient in distributed data processing with tools like Scala, Hive, HDFS, and Snowflake. My experience encompasses the entire data lifecycle, from data ingestion and transformation to advanced data warehousing concepts, including star and snowflake schema methodologies. I am also skilled in using tools like Matillion, Informatica, and Control-M to automate data workflows, ensuring efficient and reliable data integration.In addition to my technical skills, I am experienced in machine learning model implementation for predictive analytics, designing interactive dashboards in Power BI and Tableau, and using CI/CD tools like GitHub and GitLab. I am adept at collaborating with cross-functional teams and stakeholders, providing training, and optimizing data management processes. I am a proactive, innovative, and efficient team player, dedicated to continuous learning and adapting to the latest technologies in the field.