Sharad Mishra
About Sharad Mishra
Sharad Mishra is a Data Engineer with extensive experience in Big Data ecosystems, currently employed at Index Exchange in New York. He previously worked at Tata Consultancy Services for seven years, specializing in Big Data and software development.
Work at Index Exchange
Sharad Mishra has been employed at Index Exchange as a Data Engineer since 2019. In this role, he utilizes his expertise in Big Data ecosystems to manage and analyze large datasets. His responsibilities include working with various data management tools and programming languages to enhance data processing and analytics capabilities within the organization.
Previous Experience at Tata Consultancy Services
Prior to his current role, Sharad Mishra worked at Tata Consultancy Services from 2012 to 2019. He served as a Big Data-Hadoop Developer for seven years and as a Software Developer for four years. During his tenure, he developed skills in Hadoop, Spark, and other Big Data technologies while contributing to various projects in Bombay, Maharashtra, India.
Education and Expertise
Sharad Mishra earned a Bachelor of Engineering degree in Computer Science and Engineering from Rajiv Gandhi Prodoyogiki Vishwavidyalaya, Bhopal, from 2005 to 2009. His academic background laid the foundation for his expertise in data management and analytics, particularly with tools such as Cognos Framework Manager and Cognos Transformer.
Technical Skills and Tools
Sharad Mishra is proficient in a range of programming languages including Scala, Java, and Shell scripting. He has experience operating systems such as Linux, Windows, and Mac. His technical toolkit includes various development and data management tools like Toad, SnagIT, and SecureFx, which he employs to optimize data processing workflows.
Methodologies and Database Experience
Sharad Mishra has a strong background in Agile SCRUM and Waterfall Software Development Life Cycle (SDLC) methodologies. He is experienced in working with databases including Oracle 9i, 10g, and 11g, which enhances his ability to manage and analyze data effectively in his engineering roles.