About

Rohan Goel is a skilled data warehousing and SQL expert with over 5 years of experience in wrangling big datasets. He is currently working as a Senior Associate Consultant at Eli Lilly and Company, where he leads a Data Spine Team of 7 associate consultants. His primary focus is on business analysis, designing and creating optimized ETL based solutions, and building insightful business dashboards. Rohan has a strong educational background, having completed his Bachelor of Technology (B.Tech.) in Information Technology from VIT Vellore and an Integrated Program in Business Analytics from IIM Indore. He is also proficient in various technologies, including SQL, ETL, Jupyter, Python, Web, Software Engineer, and Spring. In his previous role as an Associate Consultant at ZS Associates, Rohan handled managerial responsibilities to handle a team of 2 or more. He also contributed to optimal designing of processes for smooth delivery of the project, represented the team during frequent client interactions, and provided accurate estimates and project timelines. Additionally, Rohan has experience working as a Software Developer at Tangoe, where he worked on improving internal processes using Spring 2.5 framework, JDBC, and Servlets. He was recognized as a cohesive team worker with strong analytical, problem-solving, and interpersonal skills. Throughout his career, Rohan has been recognized for his outstanding contributions to the organization. He has been rewarded multiple times on Lilly recognition portal for delivery, values, and team contributions. He received the Q1’21 Productivity Award for being the most productive team member and the Q2’21 Automation Award for optimizing the operations management process to reduce turnaround time by 40%. He was also promoted to Senior Associate Consultant role for exceeding expectations. Overall, Rohan is a highly skilled and motivated professional with expertise in data warehousing, SQL, and business analysis. He is committed to delivering high-quality work and driving business growth through data-driven insights.