Sandeep Upadhyay
ETL EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Builder | Technology Consulting Partner
I’m a management consultant with over two decades of experience transforming how organizations leverage data and analytics to drive real impact. From life sciences to medical technologies, I’ve helped clients uncover white spaces, build game-changing solutions, and scale them globally across industries. I thrive on turning complex challenges into clear, actionable insights through lateral thinking and creative problem-solving. My passion lies in creating partner-centric solutions that drive both innovation and commercialization—solutions that don’t just address today’s problems but lay the groundwork for tomorrow’s breakthroughs. I’m the inventor of the Netflix Model of BI—an innovative framework that embeds real-time insights into executive decision-making. It’s all about helping leaders make smarter, data-driven choices that propel their businesses forward. Currently, I have a patent-pending invention centered on Digital Data Stewards—a cutting-edge solution that enables Agentic Architecture to accelerate access to clean master data. This breakthrough addresses the ongoing challenge of data quality and governance, unlocking the potential for businesses to drive more informed decisions, faster, and at scale.
Cornell University
Systems Thinking
March 1, 2025 – September 1, 2025
Northwestern University - Kellogg School of Management
Chief Product Officer Program
June 1, 2022 – July 1, 2023
Motilal Nehru National Institute Of Technology
BE, Mechanical
January 1, 1998 – January 1, 2002
Tiger Analytics
Technology Consulting Partner
January 1, 2025 – Present
Charlotte Metro · Hybrid
Cognizant
Global Offerings Sales Leader - AI & Analytics
January 1, 2023 – January 1, 2025
On-site
Cognizant
Digital Business & Technology Sales Leader, Life Sciences
January 1, 2021 – January 1, 2023
On-site
Cognizant
AI & Analytics Sales Leader, Life Sciences
March 1, 2016 – January 1, 2021
On-site
Baxter International Inc.
BI & Analytics IT Head, North America
January 1, 2015 – March 1, 2016
Roundlake, Illinois · On-site
ZS Associates
Global Program Delivery Leader
January 1, 2011 – January 1, 2015
ZS Associates
Life Sciences Engagement Leader
November 1, 2009 – December 1, 2010
ZS Associates
Delivery Leader - ARTiS
July 1, 2007 – October 1, 2009
ZS Associates
BI & DW Competency Leader
April 1, 2005 – June 1, 2007
GE Consumer & Industrial - India Business Center
Data Warehouse Specialist
August 1, 2003 – April 1, 2005
Greater Hyderabad Area · On-site
Finance for Executives
Kellogg Executive Education
June 24, 2026 – Present
Design Thinking: A Toolkit for Breakthrough Innovation
Kellogg Executive Education
June 24, 2026 – Present
Systems Thinking Certificate
Cornell University
June 24, 2026 – Present
Kellogg Executive Scholar Certificate - Chief Product Officer
Kellogg Executive Education
June 24, 2026 – Present
Strategies that Build Winning Brands
Kellogg Executive Education
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on data, analytics, and AI within consulting and enterprise environments, aligning well with a data-driven culture. Their experience in building and commercializing IP, driving aggressive growth, and leading global initiatives suggests an entrepreneurial and results-oriented mindset. However, the target role is 'ETL Engineer', which is a more hands-on, technical role than their recent strategic and sales leadership positions. While they have foundational experience in data warehousing, their recent roles are heavily skewed towards business development, sales, and high-level strategy, which might indicate a mismatch for a purely engineering-focused role. The lack of recent hands-on technical details in their resume for ETL tools and practices is a concern for cultural fit as an 'ETL Engineer'.
Soft Skills & Operational Fit
The candidate's experience highlights strong leadership, strategic thinking, and problem-solving skills, particularly in complex data and analytics environments. Their roles consistently involve driving business transformation, managing large portfolios, and leading diverse teams, indicating a high operational fit for senior leadership roles. The descriptions also suggest strong client-facing and communication abilities, crucial for a consulting partner role.