Agarwal Rishabh Atul
A Data Engineer with over 5 years of experience has worked at McKinsey & Company, Fractal Analytics, and TCS, leading the design and development of scalable data solutions and automated data frameworks. Extensive work spans various domains like banking, technology, and sustainability with reputed clients. Holds an M.Tech in Data Science from BITS Pilani and a B.E. from PICT. Recognized with industry awards for leadership and technical contributions. Actively mentors aspiring data engineers and has judged national-level student competitions like InC. Contributions to events like TEDxPICT showcase a commitment to leadership beyond work.
Education
Bachelor of Engineering in Electronics and Telecommunication (BE E&TC)
Master of Technology in Data Science and Engineering (MTech DSE)
Work Experience
As a Data Engineer 2 at McKinsey & Company, led the development of high-efficiency data pipelines, automating key processes using LLMs, reducing manual effort, and enhancing accuracy. Migrated major application and model pipelines to Kedro, improving scalability and code quality. At Fractal Analytics, worked on optimizing piracy analytics, converting unauthorized users to licensed ones, achieving 95% accuracy. Work at TCS involved building advanced PySpark pipelines for AML compliance and transitioning clients from static Excel sheets to dynamic Tableau dashboards used by 1000+ users. Experience spans multiple domains like banking, technology, and sustainability, with different clients in various organizations and regions across the globe. Awarded the STAR, On the Spot, and Best Team awards for impactful results, driven by a passion for data and innovation.
Nature of Work
As a Data Engineer, the nature of work is fairly technical, providing technological solutions for building robust and scalable data frameworks for big data applications as per client requirements. Responsibility includes data analysis and deriving insights for client teams, requiring functional and domain understanding of the client business. Overall, accountable for data collection, cleaning, aggregation, insight generation, and dashboarding/visualization from both technical and non-technical perspectives in approximately an 80/20 ratio.
Profile
- Batch Year:2024-26
- Experience: 5 Year
- Industry: IT & ITeS
- Organisation: McKinsey & Company
- Email: bpgp24rishabh@iima.ac.in
- Phone: XXX-XXX-4621
- Social connect: LinkedIn | CV