Kailash Yadav
About Kailash Yadav
Kailash Yadav is a Database Architect at Impact Analytics in Bengaluru, India, with extensive experience in data processing and database solutions. He holds an MBA and has worked in various roles across multiple companies, including Cognizant and Zensar Technologies.
Work at Impact Analytics
Kailash Yadav has been employed at Impact Analytics as a Database Architect since 2021. He has worked in this role for three years in Bengaluru, Karnataka, India. His responsibilities include designing and implementing database solutions that support data analysis and business intelligence initiatives.
Education and Expertise
Kailash Yadav holds a Master of Computer Management (MCM) from Barkatullah Vishwavidyalaya, where he studied from 1999 to 2001. He also completed a Post Graduate Diploma in Mathematics and Hardware Engineering from NMV College. Additionally, he earned a Master of Business Administration (MBA) in Finance from Sikkim Manipal University through distance education from 2012 to 2015. His educational background supports his expertise in database architecture and data processing.
Professional Background
Kailash Yadav has a diverse professional background in database management and data analysis. He worked at 3i-Infotech Ltd as a PL/SQL Programmer and Team Leader from 2006 to 2011. He then served as a Tech Lead at Zensar Technologies from 2011 to 2016 in the San Francisco Bay Area. Following that, he was employed at Cognizant as a Data Analyst and Database Architect from 2016 to 2022 in Hyderabad, Telangana, India.
Technical Skills and Specializations
Kailash Yadav possesses advanced skills in the Hadoop ecosystem, including tools such as Pig, Hive, and Sqoop, which are essential for large-scale data processing. He is proficient in Python, enhancing his capabilities in data manipulation and analysis. His expertise also includes performance tuning and data modeling, particularly in data warehousing and big data technologies.
Industry Knowledge
Kailash Yadav has a strong background in the banking and finance domain, which enhances his ability to design effective database solutions tailored to industry needs. His understanding of both functional and technical aspects of this sector allows him to create optimized database architectures that support financial data management.