Niranjan S
About Niranjan S
Niranjan S is an Analyst specializing in data engineering at LatentView Analytics, where he has worked since 2021. He develops ETL processes, utilizes AWS services, and applies programming skills in Python, Spark, and SQL.
Work at LatentView Analytics
Niranjan S currently serves as an Analyst in Data Engineering at LatentView Analytics, a position he has held since 2021. His role involves developing and modifying ETL processes tailored to meet specific business requirements. He monitors daily ETL operations across various domains to ensure data integrity and performance. Prior to his current role, he completed two internships at LatentView Analytics, one lasting six months in 2019 and another for five months from 2020 to 2021, both based in Chennai, Tamil Nadu, India.
Education and Expertise
Niranjan S studied at the Coimbatore Institute of Technology, where he pursued a Master of Science in Data Science from 2016 to 2021. His educational background has equipped him with the necessary skills for his current role in data engineering, including expertise in programming languages such as Python, Spark, and SQL. His academic training complements his practical experience in the field.
Background in Data Engineering
Niranjan S has a solid foundation in data engineering, having utilized various AWS services such as Glue, S3, Redshift, Data Pipelines, and EMR in his projects. His experience includes a summer internship at Mavens i Softech Solutions Private Limited in 2018, where he gained initial exposure to the industry. This background has contributed to his proficiency in developing and managing ETL processes.
Technical Skills and Tools
In his role as an Analyst, Niranjan S applies his programming skills in Python, Spark, and SQL to execute data engineering tasks. His technical expertise extends to monitoring and optimizing ETL operations, ensuring that data processes run efficiently and effectively across multiple domains. His familiarity with AWS services enhances his ability to manage data workflows.