Shivam Khandelwal
Big Data 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
Full-Stack Digital Marketer | Google & Meta Ads Specialist | Funnel Architect | Growth Strategist | Turning Clicks into Conversions
I’m a growth-obsessed digital marketer who blends strategy, creativity, and performance to help brands boom—fast. From Google and Meta ads to funnel building, copy that clicks, and scaling what works, I’m the one-man marketing army startups wish they had sooner. I don’t just run ads—I engineer revenue. Whether it’s building lean media plans, optimizing conversions, or crafting scroll-stopping campaigns, I dive deep into what actually moves the needle. If your brand is ready to grow louder, smarter, and faster—I’m ready to make it happen. Let’s build something worth bragging about.
Loyola College
Executive postgraduate program in Business Analytics , Business Statistics
November 1, 2022 – November 1, 2023
Jagannath International Management School,Vasant Kunj
Bachelor of Business Administration - BBA, Business Administration and Management, General
January 1, 2016 – January 1, 2019
Vishwa Bharati Public School Dwarka
High school
January 1, 2007 – January 1, 2016
Publicis Groupe
Assistant Manager
May 1, 2026 – Present
Nutristar
Performance and growth manager
May 1, 2025 – Present
Delhi, India · On-site
WNS
Senior Process Executive
October 1, 2024 – May 1, 2025
Delhi, India · On-site
Cognizant
Google Ads expert
November 1, 2023 – October 1, 2024
Gurugram, Haryana, India · On-site
The Kalakrit
Head of Business Development
November 1, 2022 – November 1, 2023
India
Fine Brews LLP
Head of Operations
February 1, 2019 – May 1, 2022
Jaipur, Rajasthan, India · Hybrid
Jingle infosolutions Pvt.td
Marketing and Sales Intern
August 1, 2018 – October 1, 2018
South West Delhi, Delhi, India
FEI Cargo Ltd
Intern
March 1, 2018 – August 1, 2018
New Delhi Area, India
frapp India
campus head
February 1, 2018 – March 1, 2018
Big Bazaar - Future Retail
Management Trainee
January 1, 2018 – January 1, 2018
New Delhi Area, India
Godrej Consumer Products Limited
Campus Ambassador
June 1, 2017 – September 1, 2017
New Delhi Area, India
Executive post graduate program in Business Analytics
upGrad
June 23, 2026 – Present
Building Celebrity partnership and campaign
upGrad
June 23, 2026 – Present
Email marketing
upGrad
June 23, 2026 – Present
Introduction to modern public relations
upGrad
June 23, 2026 – Present
Google Ads Apps Certification
Skillshop
June 23, 2026 – Present
Google Ads creative certification
Skillshop
June 23, 2026 – Present
Google Ads Video Certification
Skillshop
June 23, 2026 – Present
Google Ads Measurement certification
Skillshop
June 23, 2026 – Present
Google Ads Display Certification
Skillshop
June 23, 2026 – Present
AI-powered Shopping ads certification
Skillshop
June 23, 2026 – Present
Google Ads Search Certification
Skillshop
June 23, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse professional background spanning marketing, business development, and operations across various companies. This indicates adaptability and a broad perspective. However, the target role of 'Big Data Engineer' requires a strong technical foundation in data engineering principles, distributed systems, and programming, which is not evident in the current experience. The cultural fit for a highly technical engineering role might be challenging without significant upskilling in core engineering domains.
Soft Skills & Operational Fit
The candidate's resume highlights strong soft skills such as Time Management, Project Management, Leadership, Negotiation, and Teamwork, which are beneficial for operational roles. Experience in customer satisfaction and relationship building also suggests a customer-centric approach. However, the direct relevance to a Big Data Engineer role's operational demands (e.g., pipeline management, infrastructure) is not explicitly demonstrated.