About

Aryan Raj is a highly skilled and experienced Manager of Data Engineering with over 7 years of experience in the field. He is a 3X Azure Certified professional with expertise in PySpark, Azure, Data Factory, DataBricks, DataWarehouse, Synapse, Dev&MLOps, and SQL. As a process-oriented and problem-solving Data Engineer, Aryan has a proven track record of delivering successful data engineering projects. He has experience in architecture, analysis, design, development, implementation, maintenance, and support. Currently, Aryan is working as a Manager of Data Engineering at Adaptfy, where he is responsible for developing, constructing, testing, and maintaining architectures that align with business requirements. He also identifies ways to improve data reliability, efficiency, and quality. Aryan prepares data for predictive and prescriptive modeling and delivers updates to stakeholders based on analytics. Prior to his current role, Aryan worked as an Associate at Adaptfy and as a Senior Data Engineer at Ecolab. At Ecolab, he worked with Data Scientists and stakeholders to fulfill their data needs. Aryan created reusable and dynamic ETL/ELT/ELTL data pipelines using Databricks and Azure Data Factory. He also created ML pipelines using Iguazio and implemented DevOps and MLOps for CI/CD. Aryan holds a Bachelor's Degree in Electronics and Communications Engineering from RTU and a High School degree in Science(Math) from Jawahar Navodaya Vidyalaya. He has a strong tech stack that includes Data Engineering, Azure, SQL, Databricks, test, CI/CD, ML, DevOps, and ETL. Overall, Aryan has relevant experience of 8.52 years in the field of Data Engineering and is a valuable asset to any organization.