About

Palak Agarwal is a highly skilled Data Engineer with a passion for building data pipelines and working with Big Data technologies. Currently working at TheDataTeam, Palak has over 2.78 years of experience in the field of data engineering and is seeking summer 2023 internship opportunities. Palak is also pursuing a Master of Science in Big Data at San Jose State University, which is set to be completed in fall 2022. Palak's experience includes building pipelines using Python and triggering notifications for Cadenz Customer Profiling. She is proficient in various Cloud Stack technologies, Big Data Technologies, ETL, building pipelines, and customer data analytics, including customer segmentation, behavioral and direct marketing strategies. Palak has demonstrated business intelligence and attention to detail in her work. In addition to her technical skills, Palak has strong expertise in SQL concepts, Python, and AWS. She has good ETL development experience to load and unload data in data warehouses, and experience working with the tool named Abinitio. Palak is also an expert in creating AWS data ingestion pipelines using pagination and has implemented the stateful Flink framework and efficiently optimized the Redshift queries. Palak has a Master of Technology degree from Jaypee Institute of Information Technology, Noida, and a Bachelor of Technology degree from JIIT. She also attended Delhi Public School and St. Paul's Academy. Palak's specialties include Kafka Schema Registry and distributed tracing using jaenger and open tracing. She is proficient in handling various business scenarios and converting them into technical code while offering business solutions, recommendations, or insights. Palak's knowledge of parsing JSON format for various APIs and SDKs is also a valuable asset. Overall, Palak is a highly skilled Data Engineer with a passion for building data pipelines and working with Big Data technologies. She is seeking new opportunities to expand her skills and contribute to the field of data engineering.