Sathiyarajan Mariyappan (Sathya)
About Sathiyarajan Mariyappan (Sathya)
Sathiyarajan Mariyappan, known as Sathya, is a Software Principal in Data Engineering with extensive experience in developing ETL frameworks for data warehousing and data lakes. He has worked at Standard Chartered Bank and Maveric Systems Limited since 2019 and has previously held positions at Prodapt Solutions and Bank of America.
Work at Maveric Systems
Sathiyarajan Mariyappan has been employed at Maveric Systems Limited since 2019, serving as a Software Principal in the Data Engineering department. His role involves leading initiatives in data engineering, focusing on the development and implementation of ETL frameworks. He has contributed significantly to various projects that enhance data processing capabilities and efficiency.
Current Role at Standard Chartered Bank
In addition to his position at Maveric Systems, Sathiyarajan works as an Analyst - Data Engineering Consultant at Standard Chartered Bank, also since 2019. His responsibilities include consulting on data engineering projects, where he applies his expertise in ETL processes and data management to support the bank's data infrastructure.
Previous Experience in Data Engineering
Sathiyarajan has a solid background in data engineering, having worked at Prodapt Solutions in various capacities from 2014 to 2018. He started as an Associate Software Engineer and progressed to Senior Software Engineer, focusing on data engineering projects. His experience includes implementing ETL frameworks and working on data validation processes.
Education and Expertise
Sathiyarajan completed his Bachelor of Engineering in Electronics and Communications Engineering at SSN College of Engineering from 2010 to 2014. His educational background provides a strong foundation for his expertise in data engineering, particularly in the use of technologies such as Spark, Scala, Hive, and NiFi.
Achievements in Data Engineering
Sathiyarajan has authored and implemented multiple ETL frameworks for data warehousing and data lakes. Notable projects include a Spark framework that processes over 3000 daily upstream files and an ETL ingestion framework that significantly reduced data loading time. His contributions have streamlined data processes across various systems.