About

Ananth Upadhyaya N is a Data Engineer at Amazon with a passion for unraveling the mysteries of data and helping organizations make informed decisions. With over 6 years of relevant experience, he has collaborated with cross-functional teams and delivered solutions across the globe. Ananth's expertise lies in Data Engineering, where he has been instrumental in designing, developing, and strategizing the deployment of ETL and ELT processes on commodity hardware and cloud using Python, Apache Airflow, Apache Oozie, Apache Sqoop, Vertica, AWS Redshift, HIVE, Kafka, RabbitMQ, and Hadoop. He has also automated monotonous human-involved tasks to increase efficiency and reduce errors using Python. In addition to Data Engineering, Ananth is skilled in Data Reporting and Visualizing using Looker and Tableau. He has also developed feature-rich websites with real-time statistical front-ends using Django, Flask, Javascript, HTML, CSS, and BOOTSTRAP. Ananth's professional experience includes working as a Data Engineer at Euromonitor and a Software Development Engineer II at Nineleaps. He holds a Bachelor of Engineering (B.E.) degree in Information Technology from Vishveshwaraiah Technological University and a Bachelor's degree in Information Technology from SJBIT. Ananth's tech stack includes Data Engineering, Big Data, Software Engineering, Python, AWS, Web Development, Apache Airflow, RabbitMQ, Django, Javascript, Hadoop, Kafka, ETL, Flask, and Apache Hive. He is constantly placing himself at the edge of his comfort zone and is always ready to learn and explore new technologies.