Aman Tanwar
About Aman Tanwar
Aman Tanwar is a Data Engineer II at Expedia Group, specializing in designing data pipelines and utilizing big data analytics. He has expertise in PySpark, Databricks, Hive, Kafka, and cloud platforms like AWS and Azure.
Current Job at Expedia Group
Since 2022, Aman Tanwar has been working as a Data Engineer II at Expedia Group. In this role, he focuses on designing and optimizing data pipelines that leverage big data analytics to enhance business operations. His responsibilities include using PySpark libraries for batch processing within the Spark framework and working with various other technologies such as Databricks, Hive, Kafka, and HDFS to facilitate distributed computing.
Previous Role at ZS
Aman Tanwar served as a Business Technology Solutions Associate at ZS from 2019 to 2022. Based in Pune, Maharashtra, India, he spent three years in this position where he developed his skills in data modeling, database management systems, and cloud platforms. His expertise during this period included using Azure DevOps, AWS S3, and AWS EMR to manage cloud-based projects. Additionally, he utilized Airflow for workflow automation and orchestration.
Education at Army Institute of Technology
Aman Tanwar obtained his Bachelor of Engineering (B.E.) degree in Computers from the Army Institute of Technology. His academic period from 2015 to 2019 provided him with a strong foundation in data structures, algorithms, and functional programming. This thorough educational background has contributed significantly to his competence in various programming languages including Python, Scala, C++, and C.
Secondary Education at Army Public School, Dhaula Kuan
From 2005 to 2014, Aman attended the Army Public School in Dhaula Kuan, where he pursued studies in Science. This nine-year academic journey laid the groundwork for his future career in technology and data engineering. The rigorous science curriculum at the school helped him develop critical thinking and analytical skills.
Technical Expertise
Aman Tanwar specializes in designing data pipelines for big data analytics, leveraging a range of technologies such as PySpark, Databricks, Hive, Kafka, and HDFS for distributed computing. He is proficient in several programming languages, including Python, Scala, C++, and C. His technical expertise also encompasses cloud platforms like Azure DevOps, AWS S3, and AWS EMR, as well as workflow automation tools such as Airflow. His strong foundation in data structures, algorithms, and functional programming further enhances his capabilities as a data engineer.