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Leo Jing Zhang
Data Engineering & Analytics | Cloud | Architecture | Data Security
Leo Jing Zhang is a Software Engineering Manager at Riot Games. Based on the available information:
Professional Background
Leo Jing Zhang has experience in software engineering and data analytics roles. He is currently working at Riot Games, the company known for developing popular video games like League of Legends and VALORANT.1
Technical Skills
- Google Cloud certified Professional Cloud Architect and Data Engineer
- Expertise in data, analytics, and cloud technology2
Role at Riot Games
While specific details about his current role are limited, as a Software Engineering Manager at Riot Games, Leo Jing Zhang likely:
- Leads engineering teams working on Riot's game development or infrastructure projects
- Contributes to technical decision-making and strategy
- Mentors and develops software engineering talent
Company Culture
Riot Games is known for its supportive and immersive culture. A LinkedIn post mentioned that Leo Jing Zhang, along with a colleague, were "gracious hosts" during a visit, highlighting the positive work environment at Riot.3
Education and Career Path
Though not explicitly stated, given his current role and certifications, Leo Jing Zhang likely has:
- A strong educational background in computer science or a related field
- Several years of experience in software engineering before moving into management
It's worth noting that Riot Games has a robust internship program and encourages professional growth, so Leo may have advanced his career within the company.1
Highlights
If you are on a multi-Cloud environment and might have been longed to consolidate them into one single Cloud for whatever reasons: to reduce ops overhead, to simplify tech stack or simply to reduce the data movement etc., there is always a roadblock: almost all Cloud providers charge a signicant fee for data egress. It was reported that Apple paid 50 million for data transfer in one year.
Google made an interesting announcement today that they will stop charging the egress fee if customers want to migrate data off GCP.
Do Google really want their customers to leave? What are your thoughts?
BigQuery has always been considered as a powerful analytical database however with an expensive price tag attached.
Google has a detailed documentation around BigQuery cost control best practice here: https://lnkd.in/gfJfF-Mw, but that might not be enough.
A great article below (by Alexander Ryazanov) discussed ways to optimise pricing strategy to achieve the cost/performance balance: https://lnkd.in/gqM7eGNC
Thank you António Vilares for sharing!
