Santhosh Raj
About Santhosh Raj
Santhosh Raj is a Data Engineer at Condé Nast in Chennai, Tamil Nadu, India, with expertise in building Big Data systems and a background in the pharmaceutical, healthcare, and media domains. He has previously held positions at EY, Accenture, and AstraZeneca, and possesses strong skills in various data engineering tools and technologies.
Work at Condé Nast
Santhosh Raj has been employed at Condé Nast as a Data Engineer - Level II since 2021. His role involves utilizing his skills in data engineering to support the company's data initiatives. He is based in Chennai, Tamil Nadu, India, and has contributed to various projects that leverage data to enhance decision-making processes.
Previous Experience at EY
Before joining Condé Nast, Santhosh Raj worked at EY as a Senior Consultant for a duration of five months in 2021. During his time at EY, he focused on data-related consulting services, contributing to the firm's objectives in Chennai, Tamil Nadu, India.
Background in Data Engineering
Santhosh Raj has a solid background in data engineering, having previously worked at Accenture as an ETL Developer from 2015 to 2019. He then transitioned to AstraZeneca, where he served as a Cloud Engineer for two years, from 2019 to 2021. His experience spans various domains, including pharmaceutical, healthcare, and media.
Education and Expertise
Santhosh Raj completed his high school education at Kaligi Ranganathan Montford Matriculation School. He furthered his studies at the Madras Institute of Technology, where he specialized in Computer Science from 2011 to 2015. He has developed expertise in building Big Data systems and is knowledgeable in tools and technologies such as Hadoop, Hive, Impala, Spark, and AWS services.
Technical Skills and Tools
Santhosh Raj possesses a range of technical skills relevant to data engineering. He is proficient in SQL, Python, and Shell Scripting, and has experience with data processing tools like Informatica Powercenter and Databricks. He is also familiar with database technologies including MySQL, Postgres, and Redshift, and utilizes Airflow and dbt in his data engineering processes.