AI and data programs
10 data engineering experts
These ten engineering leaders have run data engineering inside operating companies, with titles such as Director of Data Engineering and Data Engineering Manager. A reader can learn how in-house data engineering teams are built and run.
Professionals to explore
01—10Abhishek Gupta
LinkedInExperience: Head of Data Engineering · Chubb
Former Head of Data Engineering at Chubb (2024–2025), and Data Engineering Manager at PureGym since 2025. Former Lead Data Engineer at Brit Insurance (2022–2024) and at Homes England (2020–2022). The profile says this person has built and delivered multiple MS Azure based Data Platform solutions.
Gaston Pompe
LinkedInExperience: Director, Data Engineering · Moneris
Former Director, Data Engineering at Moneris (2018–2022), and Director, Data Platforms and Services there since 2022. Former Senior Business Intelligence and Solutions Architect at Kinross Gold Corporation (2014–2015) and Senior Business Intelligence Data Warehouse Architect at Genworth (2011–2014).
Greg Spitz-Farris
LinkedInExperience: Data Engineering Manager · Forbes
Data Engineering Manager at Forbes since 2024, and former Data Engineering Manager, ML Ops (2024), Associate Architect, Data Engineering (2022–2023) and Senior Data Engineer (2021–2022) there. The profile headline reads Director of Data Engineering & ML Ops at Forbes.
Hardeep Arora
LinkedInExperience: Data Engineering Manager · Amazon
Former Data Engineering Manager (2021–2024), Sr. Data Engineer (2018–2020) and Data Engineer (2016–2018) at Amazon. Sr. Data Engineering Manager at Optum since 2026, and former Data Engineering Manager at Stanley 1913 (2025–2026). The profile describes specializing in data, analytics, and AI platforms.
Julian Pan
LinkedInExperience: Director of Growth Data Engineering · Netflix
Director of Growth Data Engineering at Netflix since 2020. Former Director of Data Engineering (2016–2020), Senior Manager, Data Engineering (2014–2016) and Manager, Data Infrastructure (2011–2014) at YouTube, and Technical Lead, Data Platform at Yahoo (2009–2011). The profile describes driving scalable data and AI platforms at Netflix, YouTube and Yahoo.
Parth Parekh
LinkedInExperience: Director, Data Engineering, Meta Superintelligence Labs · Meta
Director, Data Engineering, Meta Superintelligence Labs at Meta since 2026. At Meta, the profile also lists Senior Data Engineering Manager, Generative AI (2023–2025), Senior Data Engineering Manager, RL Research (2022–2023) and Senior Data Engineering Manager, Cross-app Growth (2020–2022), and describes building data foundations to improve data quality.
Roshan Karunakaran Poornima
LinkedInExperience: Director - Data Engineering · Fabletics
Director - Data Engineering at Fabletics since 2025, and former Sr. Data Engineering Manager (2023–2025), Engineering Manager (2020–2023), Architect - Enterprise Data Management (2018–2020) and Senior Data Engineer (2016–2018) there. The profile describes a background in data warehousing and business intelligence development.
Samiksha Gour
LinkedInExperience: Director of Data Engineering and AI Strategy · SurveyMonkey
Director of Data Engineering and AI Strategy at SurveyMonkey since 2022, where the profile says this person leads Data Engineering, Analytics, and AI and owns the enterprise data capability end to end, including architecture, standards, governance, vendor and budget decisions. Former Manager Data Engineering, Data Science and Cloud Analytics at Conn's HomePlus (2015–2022).
Sankarshan Sengupta
LinkedInExperience: Associate Director - Data Engineering · PepsiCo
Associate Director - Data Engineering at PepsiCo since 2024, and former Deputy Director - Data Engineering there (2022–2024). The profile says this person works in PepsiCo's Data Analytics & AI organization and is passionate about building data products for supply chain and sustainability problems. Former Information Architect at S&P Global (2020–2022).
Venkat Subramanian
LinkedInExperience: Director - Data Engineering · Unum
Director - Data Engineering at Unum since 2019, where the profile says this person leads data engineering teams that design and build scalable, secure data solutions. Former Data Architecture Lead at BBVA in the USA (2013–2019) and Revenue Application Management at Southern Company (2007–2013).
Choose the right perspective
Match the person's data scale and setting to yours, since running data engineering for a consumer internet platform differs from building a data warehouse for an insurer or retailer. Also decide whether your question is mainly about pipelines and warehousing, team structure, or data for analytics and AI, and pick someone whose roles centered on that work.
Questions to take into the conversation
- 01When should a company move from analysts maintaining their own pipelines to a dedicated data engineering team?
- 02How do you decide what the central data platform owns and what product or analytics teams build themselves?
- 03What practices keep data pipelines reliable and data quality high as sources and users multiply?
Reaching data engineering experts
How can I contact one of these data engineering experts?
Pick one of the 10 people on this page and choose "Book a paid call", or describe your project to find others. You offer a fee for a 15-minute call or a written answer, Instant Expert finds the person's work email and sends the invitation, and they decide whether to accept. The list covers 10 companies, including Chubb, Moneris and Forbes, based on profile data retrieved on October 4, 2026. Being listed here doesn't mean someone has agreed to take calls.
How much does it cost to reach data engineering experts?
You choose the offer, starting at $5 per person. It includes Instant Expert's 20% fee, so an offer that pays the person $100 costs you $125. You're charged only when the person books the call or sends the answer.
What if they don't reply?
You pay nothing. Instant Expert sends follow-up reminders, and if the person hasn't booked or answered within 7 days, the request expires and any hold on your card is released. You can invite several of the 10 people on this list at once and cap your total spend, so you pay only for the ones who accept.
About this directory
This is a professional research starting point based on business profile data retrieved on . Titles and companies reflect that source snapshot and may describe past or present roles. Check the linked profiles for current details. Inclusion does not imply Instant Expert membership or availability.
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