About

Rajat Sharma is a highly skilled Data Engineer with over 4 years of experience in Big Data, Data Engineering, and ETL. He is currently working at Amazon as a Data Engineer, where he has gained extensive knowledge and experience in Big Data, AWS, Redshift, Python, Hadoop ecosystems like Hive and PySpark, ETL tools like Informatica Cloud, Streamsets, and Matillion, and scheduling platforms like Autosys, Airflow, and AWS Step Function. Rajat has also worked with various DevOps technologies such as Jenkins, programming and scripting languages like Shell scripting, Python, and Pyspark, and has a basic understanding of the Pharma and life sciences domain. He is proficient in Agile methodology and possesses excellent communication and interpersonal skills, allowing him to communicate effectively with non-technical staff and customers, translating their needs into appropriate systems, processes, and reports. In addition to his technical expertise, Rajat has a Master of Technology degree from Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, and a Bachelor's degree from Ambedkar Institute of Advanced Communication Technologies and Research. He has experience working with databases like RedShift, Oracle, and MySQL, and has implemented Incremental Loads, Change Data Capture, and Slowly Changing Dimensions. Rajat is highly skilled in AWS, Data Engineering, Python, Big Data, ETL, Apache Airflow, SQL, Pandas, MySQL, Hadoop, Jenkins, DevOps, Software Engineering, Amazon Athena, Apache Hive, AWS Glue, Data Warehouse, Data Scientist, and Postgres. With 5.20 years of relevant experience, Rajat is a valuable asset to any team looking for a highly skilled and experienced Data Engineer.