Bhakta Arupananda Nayak — Data Engineer

With a background in Computer science and engineering, I bring a unique perspective to Big Data Engineering, ensuring that data systems are not only scalable and efficient but also secure and resilient. Holding a Master’s degree in Computer Science and Engineering from IGIT Sarang and a certification in Ethical Hacking from IIT Kharagpur, I have developed expertise in distributed systems, data pipelines, and security-driven architecture. My experience in network infrastructure has given me deep insights into optimizing data flow, reducing latency, and ensuring high availability—key aspects of any large-scale data platform. At TELUS Digital, I worked on deploying high-performance network systems, reducing downtime by 50%, and increasing throughput by 40%, skills that translate directly into building and managing efficient, large-scale data architectures. Additionally, my work in cybersecurity and penetration testing has helped me implement secure data processing pipelines, access control mechanisms, and compliance-driven architectures to protect against unauthorized access and data breaches. I’ve collaborated with cross-functional teams to optimize ETL workflows, streamline data ingestion processes, and enhance real-time analytics performance. I thrive at the intersection of networking, security, and big data, leveraging my foundational knowledge to build high-performance, scalable, and secure data ecosystems. My goal is to continue bridging the gap between network engineering and big data, ensuring seamless, efficient, and secure data processing for next-generation analytics and AI-driven applications.

Stackforce AI infers this person is a Big Data Engineer with a strong focus on network security and data architecture.

Location: Noida, Uttar Pradesh, India

Experience: 3 yrs 2 mos