Anil Yadav — AI Researcher

SCIKIQ leads the way in leveraging advanced data engineering solutions, where this accomplished professional serves as Lead Data Engineer, bringing over 11 years of comprehensive expertise in architecting, deploying, and optimizing enterprise-grade data pipelines and cloud-native infrastructures. With proven mastery in building fault-tolerant, scalable architectures and implementing seamless API integrations across diverse technology stacks, they consistently empower organizations to extract actionable intelligence from complex data ecosystems and achieve measurable operational excellence.Throughout their distinguished career trajectory, they have made significant contributions at Daaslabs.ai and American Express, where they spearheaded the development of high-performance backend frameworks, real-time data processing systems, and sophisticated data-driven applications that handle mission-critical workloads. Their technical acumen spans the full spectrum of modern data engineering, including distributed computing frameworks, ETL/ELT pipeline orchestration, Databricks-powered lakehouse architectures, data warehousing solutions, and streaming analytics platforms.Leveraging the power of Databricks for unified analytics and collaborative data science workflows, they have successfully implemented scalable solutions that bridge batch and real-time processing paradigms. Their expertise extends to optimizing Delta Lake architectures, orchestrating complex data workflows, and building performant Spark-based applications that process petabytes of data efficiently.Beyond core data engineering capabilities, they demonstrate versatility through proficiency in frontend technologies like React.js for building intuitive data visualization interfaces, as well as expertise in IoT technologies for ingesting and processing sensor data at scale. This multidisciplinary skill set enables them to bridge the gap between raw data infrastructure and user-facing analytics solutions, delivering end-to-end value across the data lifecycle.

Stackforce AI infers this person is a Data Engineering expert in SaaS and enterprise solutions.

Location: Gurgaon, Haryana, India

Experience: 12 yrs 1 mo