Building Scalable Data Pipelines, AI-Powered Systems, and Next-Gen Applications
Seeking new opportunities, I am a seasoned Data Engineer, Generative AI Developer, and Full-Stack Specialist with 7+ years of remote work experience. My expertise spans data engineering, machine learning, large language model (LLM) integration, and full-stack development, enabling scalable, end-to-end solutions.I excel at building efficient ETL pipelines, designing AI-driven architectures, and transforming raw data into actionable insights. With a strong foundation in data processing, cloud computing (AWS, GCP, Azure), and real-time analytics, I ensure optimized performance and scalability.Additionally, I have hands-on experience with 3D Web Technologies, AR/VR, and blockchain development, creating immersive and interactive digital experiences. My ability to seamlessly integrate AI, data, and full-stack technologies makes me a valuable asset in AI-driven and data-centric environments.
Pankaj | Data Engineering, AI & Full-Stack Innovation
Pankaj | Data Engineering, AI & Full-Stack Innovation
In our second installment of the Kubernetes Observability tutorial series, we’ll dive deep into monitoring all facets of your applications operating within a Kubernetes environment. This includes a comprehensive examination of the following: Ingesting and analysing logs performance collection and health metrics Monitoring application performance with Elastic APM To aid us in this endeavor, our…