About

Saurabh Khattry is a highly skilled and results-oriented Data Scientist with over 8 years of experience in architecting and building scalable data-driven applications. With a Master of Technology in Data Science and Engineering from Birla Institute of Technology and Science, Pilani, and a Bachelor's degree in Mechanical Engineering from KIIT University, Saurabh has developed expertise in a wide range of technologies including AWS, Backend Development, Data Engineering, Spark, Big Data, AWS Glue, MySQL, Computer Vision, OpenCV, Hadoop, SQL, Python, and Apache Hive. Currently working as a Data Scientist at Entropik Tech, Saurabh has previously worked as a Big Data & Cloud Engineer at Accenture and as a Hadoop Developer at TCS. In his role at Accenture, he participated in daily scrum, code review, bug creation, and sprint retrospectives. He architected data pipelines on AWS platform, extracted Activities data of Marketo using REST API, and created AWS Lambda functions instead of Marketo batch campaigns to increase performance of Marketo. He also extracted JIRA release data with JIRA REST API and stored in MYSQL for further analysis. At TCS, Saurabh worked directly with the client at their location providing them with the solution they needed to better utilize their data. He worked on data ingestion with Sqoop, data warehousing and management with Hive, data flow management with Pig, log analysis and text analytics with Spark, workflow management with Oozie, and monitoring and fixing daily data pipeline jobs for various sources. Saurabh is recognized for his ability to develop strong relationships and plan strategically. He has experience in creating data pipelines using Spark on AWS Glue to mask/unmask data when required and identifying and masking personal information using Hive UDFs in Spark SQL scripts to comply with GDPR norms. With 7.78 years of relevant experience, Saurabh is a skilled professional who can architect and build scalable data-driven applications.