About

Sashikanth Palleti is a dedicated and skilled Data Engineer with over 6 years of experience in the field. He is currently working at Amazon, where he has created an end-to-end tool that highlights defects in invoices raised by vendors. Sashikanth is proficient in data warehousing, data extraction (ETL), and data modeling. He is a fast learner who is always willing to go the extra mile and is enthusiastic about exploring new technologies. In his current role at Amazon, Sashikanth has extracted data from various sources such as Hoot, S3, Glue catalog, and transformed and calculated desired metrics. He has also worked on designing cloud architecture flow with a 4-hour data refresh SLA for Quicksight reporting. Sashikanth has steered initiatives towards employee engagement by proposing innovative projects that make great use of the data available and existing technology. Prior to his current role, Sashikanth worked as a Business Intelligence Engineer at Bridge International Academies, where he worked closely with business for improving the quality of reports and data. He was involved in requirements gathering and estimation processes and optimized the data refresh on servers by tuning ETLs and job changes. He has also worked as a Software Engineer 2 at MAQ Software, where he participated in the full life cycle of development, attended regular conference calls with onsite and customer teams, and followed Agile methodology for all development work. Sashikanth holds a Bachelor's degree in Computer Science from CVSR College of Engineering and completed his schooling from Kendriya Vidyalaya Uppal No 1. He is proficient in data engineering, SQL, AWS, ETL, AWS Glue, Python, Azure, software engineering, data warehousing, Spark, MySQL, and backend development. With over 7 years of relevant experience, Sashikanth Palleti is a highly skilled and dedicated Data Engineer who is always willing to learn and explore new technologies.