Summary
Usama Tariq is a Senior Data Engineer with 8 years of experience building data pipelines, log analytics, and full-text search solutions, currently leading data engineering at Qavi Tech. He specializes in the Elastic Stack (Elasticsearch, Kibana, Logstash), streaming architectures, and crafting dashboards that turn complex telemetry into actionable insights. A Python enthusiast with a background in software engineering and JavaScript-based web development, he bridges data science workflows and production-grade applications. Usama is pursuing advanced study in Data Science at NUCES, which complements his hands-on experience in deploying analytics systems. He consistently focuses on robustness and observability, often tackling large-scale log and search problems that improve operational decision-making. Based in Karachi, he brings a blend of practical engineering, visualization flair, and continuous learning to data-driven initiatives.
8 years of coding experience
3 years of employment as a software developer
Intermediate, Pre-Engineering, A, Intermediate, Pre-Engineering, A at Govt Degree College Stadium Road
Master's degree, Data Science, Master's degree, Data Science at National University of Computer and Emerging Sciences
University of Karachi
Matriculation, A+, Matriculation, A+ at Metropolitan Academy School
English, Urdu