Pranay Malhan
About Pranay Malhan
Pranay Malhan is a Data Engineer with experience at Tata Consultancy Services and currently at Oportun. He specializes in big data analytics and machine learning, with advanced skills in PySpark and Azure Databricks.
Work at Oportun
Pranay Malhan has been employed at Oportun as a Data Engineer since 2022. In this role, he contributes to the company's data engineering efforts, leveraging his expertise in data processing and analytics. His responsibilities include working with various tools and technologies to optimize data workflows and enhance data-driven decision-making within the organization.
Previous Experience at Tata Consultancy Services
Prior to joining Oportun, Pranay Malhan worked at Tata Consultancy Services as a Data Engineer from 2020 to 2022. During his two-year tenure in Noida, Uttar Pradesh, India, he gained valuable experience in big data analytics and machine learning, contributing to various projects that involved data processing and analysis.
Education and Expertise
Pranay Malhan holds a Bachelor of Technology in Computer Science from AJAY KUMAR GARG ENGINEERING COLLEGE, GHAZIABAD, where he studied from 2016 to 2020. He also completed his 12th grade at SLS DAV Public School, focusing on Physics, Chemistry, Mathematics, and Computer Science. His educational background provides a strong foundation for his work in data engineering.
Technical Skills and Certifications
Pranay Malhan possesses advanced skills in PySpark, which is essential for large-scale data processing and analytics. He is also knowledgeable in Azure Databricks and Azure Logic Apps, enabling him to automate workflows and integrate applications across cloud services. His Azure DP-203 certification further demonstrates his expertise in implementing data solutions using Azure services.
Interest in System Architecture
Pranay Malhan has a strong interest in System Architecture, indicating his focus on designing complex systems. This interest aligns with his role as a Data Engineer, where understanding system design is crucial for developing efficient data solutions and architectures.