Developed Metaverse cloud platform Infra analytics solutions for cross screen cloud gaming platform.- Created a robust analytics solutions encompassing logging, pipelines, datasets, and dashboards.Implemented real-time pipeline to monitoring of key cloud platform infra performance and reliability metrics, including crashes, loading reliability, streaming latency, freezes, pixel quality, Voip latency and quality.- Established alerting systems for SEV incidents affecting platform performance and reliability.Sample Daily Tasks:- Pioneered the team's data vision and roadmap and executed the development of a comprehensive data warehouse and ETL solution.- Work with Engineer and Data Science to design/reiterate logging specifications and for metrics.- Ingested streaming logging data into Hive tables.- Constructed data pipelines to compute and visualize KPI metrics on real-time dashboards or daily aggregated dashboards.- Use analytic frameworks or create python scripts to automate the analytics process, improving efficiency and data accuracy.Key Projects:“Super Rumble” cloud gaming platform analytics for new game launching: Built an analytics infrastructure to provide both daily and real-time insights into cloud platform performance, reliability and business KPIs and deep dive analysis data artifact for root-cause analysis behind metric spikes or drops. The tool successfully assisted in new game launches and significantly reduced debugging time.https://www.meta.com/blog/quest/super-rumble-horizon-worlds-titanborne/

As lead data engineer responsible for central data engineering solution for a community of enthusiastic entrepreneurs in NPE at Meta. Find our experiment products at Meta https://tech.facebook.com/engineering/2019/7/npe-team-from-facebook/Highlights: - Built Meta incubation team's data foundation for new product portfolio including Product Market Fit; Product A/B testing; Product retention diver.- Built Meta incubation team's research data foundation for identify early Trending; Emerging topics; Deep dive analysis for Influential creators.- Engineered a scalable analytics solution incorporating logging, pipelines, datasets, dashboards and enabled A/B testing for 40+ new products.- Created innovative data models for deep-dive analysis and visualization of trending/emerging contents and topics.- Conducted specialized analysis using graph algorithms to compute creator influence score in scale for early enthusiastic adopters for new product launch.

Provide data engineering and ML solution for instagram marketing research, decision science and community lab, for IG marketing research insights and measure effective of internal and external brand digital marketing channels such as IG shop, design, creators, instagram, etc.

Develop intuitive data models and efficient ETL pipelines to support Instagram partnerships verified accounts and decision science.

Safety and efficacy data analysis for Taltz®. Since it launched in 2016, Taltz® generated 348 million revenue and helped millions of people lives a much better life.
Performed Biomarker and Immunogenicity analysis for clinical trials between phase II - IV.

Developed www.ABTest.today, a real time A/B testing platform that can perform A/B testing and calculate search click through rate for control and test groups in real time, using search data from Avito.ru, a big e-commerce website in RussiaIngested log data using Kafka, stream processed data with Spark streaming, and stored aggregated data in MySQL database and created interactive live data visualization with Flask, Grafana and JavaScript

Built Model Monitoring data platform for Capital One Marketing and Analytic team that automatically monitor performance of mortgage loan risk models