Sidharth N.

WORK HISTORY

EDUCATION

ABOUT SIDHARTH N.

I\'m a data analytics and cybersecurity professional who thrives at the intersection of big data engineering, cloud security, AI, and risk analytics. Over the past four years, I\'ve built a career around turning complex technical problems into actionable solutions — starting in QA, growing into data analytics, and now carving a path toward data science-driven security innovation. I specialize in big data platforms like Spark and Iceberg, where I design and optimize large-scale data pipelines, engineer advanced transformations, and deliver insights from datasets containing billions of records. My work extends beyond analytics into cybersecurity, where I design frameworks for vulnerability management, compliance posture assessment, and asset classification—helping organizations gain clarity and confidence in their security posture. I\'m hands-on with cloud platforms (AWS, Azure), APIs, and enterprise security tools like Qualys, SentinelOne, Wiz, and Vectra, using them to automate workflows, unify visibility, and drive measurable improvements in security operations. Whether building a CISO-level dashboard or architecting a remediation product around findings, my focus is always on scalability, precision, and impact. What sets me apart is a combination of technical depth and design thinking — I see analytics not just as a process, but as a tool to tell stories, influence decisions, and solve problems at scale. My career journey reflects adaptability, versatility, and a focus on building solutions that create real impact across teams and domains. I’m now focused on expanding my data science expertise to tackle security analytics challenges in smarter, more predictive ways — while bringing a strategic, product-minded approach to every role I take on.