How to Get Hired by Big Tech Companies (FAANG+): Insider Strategies for Standing Out in a Competitive Market

Virtual Networking Webinar

Hosted by WomenTech Network

date

November 25, 2025

time

12:00:00

address

Virtual Event


We’re excited to welcome Gayatri Tavva, Distinguished Lead Data Engineering Architect at Amazon, as our featured guest speaker this month.

Gayatri will present “How to Get Hired by Big Tech Companies (FAANG+): Insider Strategies for Standing Out in a Competitive Market.” Drawing on 15+ years leading large-scale data and AI initiatives - and her mentoring work with WomenTech Network, Women in Big Data, and Career Catalyst by WiDS - Gayatri will share an insider’s view of how top tech companies hire, grow, and retain exceptional talent, and how you can position yourself to rise.

You’ll learn how to:

  • Apply tech interview strategies and how to stand out during technical rounds.
  • Frame your experience around metrics and business outcomes so your impact is unmistakable.
  • Understand the importance of technical storytelling alongside tech skills.
  • Enhance and optimize your LinkedIn presence to attract recruiters and opportunities.
  • Master the STAR method to craft achievement-driven stories that resonate with interviewers.

Packed with real examples and actionable tips, this session will help you transform your next interview or pitch into a clear, credible narrative that leaders can’t and won’t ignore.

The event will kick off with a 30-minute keynote from Gayatri, followed by a Q&A session before one-on-one networking begins.


Hosted By

Agenda

12:00:00
How to Get Hired by Big Tech Companies (FAANG+): Insider Strategies for Standing Out in a Competitive Market by Gayatri Tavva
12:30:00
1:1 Networking Session

Speakers

Gayatri Tavva

Lead Data Engineering Architect - Amazon

Gayatri Tavva is a Distinguished Lead Data Engineering Architect at Amazon, with over 15 years of experience driving large-scale data and AI initiatives across enterprise systems. Having built her career within Big Tech, she brings first-hand insights into how top tech companies hire, grow, and retain exceptional talent. At Amazon, Gayatri leads programs that merge data engineering excellence with AI governance, ensuring scalable, ethical, and transparent innovation. She is an active mentor with WomenTech Network,Women in Big Data and Career Catalyst by Women in Data Science (WiDS), where she helps professionals navigate their paths into Big Tech through career strategy, visibility, and technical impact.