Actively Looking for Work
Principal Data Engineer with over 12 years of experience architecting, building, and scaling petabyte-scale data and AI platforms that enable data-driven decision-making, advanced analytics, personalization, and sustainable business growth. I specialize in designing modern data architectures that power real-time and batch processing systems across high-volume, distributed environments. My expertise spans distributed systems, streaming architectures, large-scale data lakes and warehouses, and low-latency serving infrastructure for machine learning applications.
In the AI/ML domain, I focus on production-grade ML infrastructure, enabling real-time inference for fraud detection, anomaly detection, experimentation platforms, and personalized recommendations. I have partnered closely with data scientists, ML engineers, and product teams to translate research models into scalable, fault-tolerant systems that operate under strict latency and availability requirements.
Beyond technical execution, I have driven platform strategy, defined architectural standards, mentored engineering teams, and influenced long-term technical roadmaps. I am passionate about building extensible, self-service data platforms that empower organizations to innovate rapidly while maintaining governance, security, and data quality at scale.