Santhosh Narayanan Murali
About Santhosh Narayanan Murali
Santhosh Narayanan Murali is a Lead Data Engineer with extensive experience in data engineering and analytics. He has worked for notable companies such as Love, Bonito and ZALORA Group, and holds a Master of Science in Electrical Engineering from the National University of Singapore.
Current Role as Lead Data Engineer
Santhosh Narayanan Murali currently serves as the Lead Data Engineer at Love, Bonito, a position he has held since 2022. In this role, he is responsible for overseeing data engineering projects and implementing advanced data solutions. His expertise includes real-time streaming solutions for omni-channel analytics, which are crucial for enhancing the company's data capabilities.
Previous Experience at Love, Bonito
Santhosh Narayanan Murali has a history with Love, Bonito, having worked there in various capacities. He was a Data Engineer from 2018 to 2020 and later advanced to the role of Senior Data Engineer from 2020 to 2022. His tenure at Love, Bonito has contributed significantly to his professional development in data engineering.
Experience at ZALORA Group
Santhosh Narayanan Murali worked at ZALORA Group in multiple roles. He began as a Test Automation Engineer in 2013 for 8 months, then transitioned to QA Manager from 2015 to 2017. He also held the position of QA Lead in 2014 for 11 months and served as a Data Engineer from 2017 to 2018. His diverse roles at ZALORA Group provided him with extensive experience in quality assurance and data engineering.
Educational Background
Santhosh Narayanan Murali holds a Master of Science in Electrical Engineering from the National University of Singapore, which he completed from 2011 to 2012. He also earned a Bachelor of Engineering in Electronics and Communication from Anna University, studying from 2004 to 2008. His educational background has equipped him with a solid foundation in engineering principles.
Technical Skills and Expertise
Santhosh Narayanan Murali possesses a wide range of technical skills relevant to data engineering. He is proficient in programming languages such as C++, Java, Ruby, Python, Scala, and PL/SQL. He utilizes cloud platforms like AWS and GCP and works with tools and frameworks including Airflow, Apache Spark, and Databricks. His experience with various databases and container services further enhances his capabilities in the field.