About

Pragya Agrawal is an experienced Data Platform Engineer with over 3 years of experience in cloud and on-premises infrastructure. She has a strong background in developing end-to-end data platforms and pipelines in a distributed computing architecture using Python, Scala and Apache Spark. Pragya is a pioneer in breaking down monolith to microservice architecture using Lambda in AWS. Her work experience lies at the intersection of Data platform and DevOps. She has built products and managed clusters that scale to 500+ internal application users. Currently, Pragya is working as a Data Engineer at loyalytics ai. In her previous role as a Teaching Fellow at Teach for India, she automated data entry in 3 unique student portals of South Delhi Municipal Corporation (SDMC) using Selenium, reducing the time from ~100 hours to 1 hour. She also trained 10 fellows, 15 teachers and the Principal in School Database Management saving up to 75 teacher hours per month. Pragya also worked as a Data Engineer at Kilobyte, where she used Jenkins and Terraform to automate build and deployment, speeding up cloud production processes. She orchestrated docker containers for implementing microservice architecture, quality tested data integrity using SQL queries, implemented Factory Design Pattern in Python codebase using OOPS and migrated OnPrem applications to the AWS cloud. Pragya holds a B.Tech (IT and Mathematical Innovation) degree from Cluster Innovation Centre, Delhi University. Her tech stack includes Data Engineering, AWS, Spark, Microservices, Python, DevOps, infra, Selenium, Scala, SQL, Terraform, Docker, and Jenkins. With a relevant experience of 5.69 years, Pragya is a highly skilled professional who is passionate about leveraging her technical expertise to deliver innovative solutions.