As a Data Engineer at BCG, I design and build scalable and efficient data pipelines for data-driven decision making. I work with open source and cloud-based tools such as Google Cloud, Apache Spark, Databricks, AWS Glue, Azure Data Factory, and more to process and store data from various sources and formats. I also apply data quality, security, governance, testing, and monitoring best practices to ensure data reliability and integrity.I have a strong understanding of data warehousing, data modeling, and ETL, as well as experience with big data technologies such as Hadoop, Hive, and Pig. I have led the development and implementation of data pipelines that resulted in significant improvement in data processing speed and efficiency. I am a Google Cloud certified professional data engineer and a skilled Python programmer. I am passionate about leveraging data to drive business insights and make data-driven decisions. I am always curious to learn new technologies and tools to improve my skills and stay updated with industry trends. I am a team player, a quick learner, and a self-starter who can deliver high-quality work with minimal supervision.