Ajay Singh
About Ajay Singh
Ajay Singh is a Senior Engineer with expertise in developing RESTful APIs and data integration processes. He has a background in Business Analytics and Electrical Engineering, and has worked in various roles across multiple organizations, including Accenture and Brillio.
Work at Brillio
Ajay Singh has been employed at Brillio as a Senior Engineer since 2020. In this role, he focuses on developing RESTful APIs using the Spring framework to facilitate interaction with Elastic Search, aimed at real-time data analytics. His responsibilities include designing data integration processes for various features and documenting these processes on Confluence. His work contributes to enhancing data accessibility and analytics capabilities within the organization.
Education and Expertise
Ajay Singh holds a Master of Science in Business Analytics from Texas A&M University-Commerce, where he studied from 2019 to 2020. He also earned a Bachelor of Engineering in Electrical and Electronics Engineering from Noida Institute of Engineering & Technology, completing his degree from 2008 to 2012. His educational background supports his expertise in data analysis, integration, and engineering.
Professional Background
Ajay Singh has a diverse professional background in data analysis and engineering. He began his career at Tata Consultancy Services as a Data Engineer from 2013 to 2015. He then worked at Accenture as an Application Development Analyst and later as a Senior Analyst in 2017. Following this, he served as a Data Analyst at Prescient Healthcare Group from 2017 to 2018 and at Texas A&M University-Commerce in 2019. His roles have involved extensive data validation, profiling, and the development of automated data pipelines.
Technical Skills and Projects
Ajay Singh has developed a range of technical skills throughout his career. He has utilized tools such as Splunk for log capturing and debugging, and he has extensively tested data validations using data flux. He developed and automated an end-to-end data pipeline mechanism using MS SQL and Python, which provided insights into housing occupancy and budget planning. Additionally, he built dashboards to track financial health KPIs based on real-time transactions.