About

Payal Chauhan is a highly skilled Senior Data Engineer with over 6 years of experience in the field. She is currently working at The Economist Group, where she is responsible for data engineering, machine learning, database BI analytics development, and more. Payal is proficient in a variety of tools and technologies, including Snowflake, ETL, Python, Tableau, Big Data, Apache Spark, Vertica, Talend, GreenPlum, and Airflow. Prior to her current role, Payal worked as a Data Engineer III at The Economist Group, where she focused on subscription analytics with data stored and designed in Snowflake DWH. She also worked on Talend ETL pipelines with Airflow as an orchestration tool. Before that, Payal was a Senior Data Engineer at Lenskart, where she was part of the Data Analytics team. There, she worked on Redshift data pipelines, designed marketing warehouses, and created a customer 360 for LK customers with a decade of data. Payal has a strong educational background in computer software engineering and information technology. She holds a Full Stack Web Development Certification from free code camp and a Bachelor of Technology (B.Tech.) from MNIT. Additionally, she attended Kendriya Vidyalaya for her early education. Payal is an expert in a wide range of tech stacks, including Data Engineering, Snowflake, Apache Airflow, ETL, Python, Big Data, Spark, ML, SQL, Kafka, AWS, UI, HDFS, Data Warehouse, MSSQL, Hadoop, Salesforce, Integration, Software Engineering, and Apache Hive. With her relevant experience and skills, Payal is a valuable asset to any team and is always looking to expand her knowledge and expertise.