Umesh Kumar Thatikonda — Data Engineer
I've spent 6+ years building data systems for some of the largest internet products in the world — Meta, Google, Disney+ India. My work sits at the intersection of data engineering, analytics and product - pipelines, experimentation frameworks, ML infrastructure, and self-serve tooling that helps teams make faster, better decisions. Most recently I've been at Meta on the Catalog Content Intelligence team, building scalable pipelines for ML model training and AI-native analytics tools. Before that, a year at Google in Trust & Safety - working on abuse detection, enforcement systems, and account hijacking response at global scale. That year taught me more about what really matters in data infrastructure than anything else in my career. I'm drawn to roles where data work has real consequence — where the pipeline you build or the dashboard you ship actually changes how a team operates or keeps a product safe. Big fan of small-ish teams where you can feel the impact of what you're building.
Stackforce AI infers this person is a Data Science and Engineering expert in the Tech industry.
Location: London, United Kingdom
Experience: 6 yrs 2 mos
Skills
- Data Science
- Trust And Safety
- Product Analytics
Career Highlights
- 6+ years building data systems for major tech companies.
- Expert in data engineering, analytics, and machine learning.
- Proven impact on product safety and decision-making.
Work Experience
Meta
Data Engineer - Product Analytics (6 mos)
Data Science - Trust and Safety (1 yr)
Disney+ Hotstar
Data Science - Product | ML | Insights (2 yrs 6 mos)
Mu Sigma Inc.
Data Scientist (2 yrs 2 mos)
Education
Technology Enterepreneurship Programme at Indian School of Business
Bachelor of Technology at CVR College of Engineering, Hyderabad