With over 7 years of comprehensive experience in the data engineering domain, I specialize in data cleaning, processing, and management across diverse technologies. My proficiency encompasses a wide range of tools and platforms, including but not limited to Spark, Kafka, Hive, SQL, AWS services, Python, PySpark, Tableau, Hadoop, Snowflake, Airflow, DBT, ETL processes, and Informatica. My expertise extends to data ingestion and ETL operations, particularly with Informatica Power Center, enabling me to effectively handle and maintain the integrity and quality of large datasets. I possess a deep understanding of distributed computing environments, acquired through hands-on experience with Apache Hadoop and AWS Glue, which has been pivotal in optimizing data storage and processing capabilities. Throughout my career, I have collaborated with various database management systems such as MySQL, PostgreSQL, and Oracle. My analytical acumen and meticulous attention to detail have been instrumental in identifying and rectifying data quality issues, ensuring the accuracy, reliability, and consistency of data. In addition to technical skills, I am committed to continuous learning and staying abreast of the latest advancements and trends in the data engineering landscape. As a proactive team player, I prioritize effective communication and collaboration to achieve shared objectives and deliver high-quality solutions. I am enthusiastic about leveraging my skills, experience, and innovative mindset to contribute to the development of robust data infrastructure, streamline data processing workflows, and drive business growth and success.