Rishabh Agarwal
With over six years of experience combining data engineering and product leadership, Rishabh has engineered scalable analytics platforms and GenAI-driven solutions at global firms including McKinsey & Company, Fractal Analytics, and TCS. His core expertise lies in orchestrating complex cloud migrations, developing robust data pipelines, and aligning stakeholder roadmaps to optimize decision-making processes. He has successfully delivered critical initiatives across diverse sectors, specifically within sustainability, banking, and piracy analytics.
Work Experience:
6 Years 6 Months Years
Industry:
Data Science & Analytics, IT & Systems Management
Function:
Consulting & Technology
Senior Lead Data Engineer - v4c.ai (Dec'25 - Present)
• Lead the design and development (architecture and execution) of Data and AI solutions for clients across Banking, CPG, Healthcare etc. using Databricks tech stack (as a Databricks partner).
• Mentoring junior colleagues in the craft and ensuring best practices are followed across the Firm.
Data Engineer 2 - McKinsey & Company (Nov'22 - Dec'25)
• Pipeline Migration & Optimization: Designed the migration of legacy R scripts and monolithic Python codebases to modular frameworks like DBT and Kedro, improving time-to-insight by 70% and enabling faster model execution.
• GenAI Product Development: Spearheaded the design of LLM-powered tools for automated data mapping, reducing manual efforts on 100k+ records, cutting costs by 30%, and accelerating commercial turnaround.
• Infrastructure Development: Designed and developed end-to-end ingestion pipelines and APIs to establish a sustainability data marketplace, enabling self-serve access to critical datasets.
• Financial Modeling: Delivered pricing and demand scenario models over a 30-year horizon to aid investment and pricing decisions for a $500M carbon markets fund.
Data Engineer - Fractal Analytics (Sept'21 - Nov'22)
• ETL Strategy: Spearheaded the ETL implementation of pricing analytics pipelines using PySpark on AWS EMR to inform global piracy-to-license conversion strategies.
• Product Refinement: Optimized internal compliance product codebases and logic based on user feedback, achieving 95%+ business accuracy and reliable adoption in client workflows.
Systems Engineer (DE) - Tata Consultancy Services Ltd. (Jun'19 - Sept'21)
• Agile Leadership: Collaborated and led an agile team of four to analyze source data and construct PySpark data pipelines, translating complex stakeholder requirements into actionable dashboard features.
• Digital Transformation: Drove the transition from static Excel models to dynamic Tableau dashboards for Corporate & Institutional Banking, achieving adoption by over 950 Relationship Managers
• Compliance Engineering: Developed robust data transformation pipelines spanning six years of daily data for an AML web portal used to monitor suspicious counterparty transactions.
- Connectivity Champion (McKinsey & Company): Recognized for hosting team-building initiatives that boosted camaraderie, fostered an inclusive environment, and elevated firm culture.
- STAR Award: Quick on the Block (Fractal Analytics): Awarded for making impactful contributions and driving business outcomes within the first week of joining the team.
- Best Team Award, On The Spot Award (TCS): Honored for successful, consistent, and error-free project execution with on-time releases – individually and as a team.
- MBA (pursuing), Indian Institute of Management Ahmedabad, 2024-2026
- M.Tech (Data Science & Engineering), Birla Institute of Technology and Science Pilani (BITS, Pilani, 2020-2022
- B.E (Electronics & Telecommunications), Pune Institute of Computer Technology Pune, 2015-2019
- Databricks Certified Data Engineer Associate, 2026
- Certified Mentor at The Mentoring Club and active data engineering community mentor; led PySpark training for 20+ freshers and judged teams at national hackathons
- Love playing boardgames and exploring new ones, attended 25+ meetups and played over 40 different games (strategy, party, social deduction etc.)