New York, New York, United States
Senior Solutions Architect with 20+ years of experience designing scalable, secure, and high-performing cloud, data and AI solutions for global enterprise across Financial Services, Media & Entertainment, Healthcare & Life Sciences. Trusted technical advisor to CIOs, engineering leaders, and data teams, with a reputation for simplifying complex architectures, driving business value, and building long-term relationships. ● Deep Cloud Architecture & Migration Expertise: Expert in cloud migration, modernization, and platform design, spanning large scale data warehousing, streaming analytics, distributed systems, and mission critical workloads. ● Proven Track Record Delivering Scalable, Reliable, Business-Centric Solutions: Architected and delivered solutions for the world’s largest music and fortune 50 wealth asset management companies, resolving performance bottlenecks, eliminating data silos, and enabling near real time analytics. ● Strong Communication & Leadership Across Technical and Executive Stakeholders: Skilled at explaining complex technical concepts to business and technical leaders, navigating competing priorities, and influencing business decisions. ● Data, Analytics, ML & GenAI Expertise: Proficient across the modern data landscape, including relational databases, distributed analytics, ML model development, and MLOps. Hands-on experience to design and demo GenAI applications, RAG, vector search, embedding pipelines, and AI-powered analytics to help customers accelerate insights.
I lead technical strategy and solution design for fortune 50 Financial Services organizations, specializing in Azure-based data, analytics, and GenAI modernization. I guide customers end-to-end across the sales and delivery lifecycle, including discovery, architecture design, proof-of-value scoping, and product demonstrations, while ensuring alignment with business outcomes, operational risk and regulatory requirements. My background includes deep expertise in relational databases, enterprise data platforms, and governed Lakehouse architectures, combined with hands-on experience in cloud infrastructure, distributed systems, and intelligent data pipelines. I design secure, scalable ingestion, transformation, and consumption layers while advising customers on operationalizing AI/ML, GenAI, real time risk models, and advanced analytics. With a strong understanding of trading systems, global exchanges protocol, and risk management workflow, I partner closely with engineering, product, and executive stakeholders to translate business objectives into practical, high-performance, regulatory-compliant data solutions. Passionate about bridging strategy and execution, I help customers modernize their data estates, improve reliability and performance, and accelerate measurable value through resilient, governed, and future-ready AI/Analytics platforms.
• Support multiple global account teams to work with customers to deeply understand their business and technical needs, develop architectural solutions for the adoption of AWS cloud platform across Media and Entertainment (M&E), Healthcare and Life Science (HCLS) and High-Tech verticals. • Build deep relationships with senior technical individuals within customers by conversing about trends and strategy, delivering immersion day, remediating risk issues, optimizing current utilization and recommending best practice architectural patterns. • Ensure customer success by acting as a technical liaison between customers and various internal technical teams including production engineering teams, training and support teams; by providing product improvement feedback to product teams and accelerating the adoption of new features in customer deployments.
Responsible for designing, developing, and managing database services for the world’s largest fine art auction house: o Developed and Implemented architectural and strategic technical solutions to optimize data services including GDPR, proactive performance monitoring and disaster recovery. o Implemented an effective governance operating model to improve communication and productivity by preparing and reviewing operational or project progress reports. o Resolved complex issues including a business intelligence dashboard that continually crashed; analyzed bottlenecks, proofed concept and implemented new reporting engine on cloud to improve performance to user’s satisfaction and allow access from anywhere. o Led the global 4-member DBA team to realize both technical and service goals - 99+% server uptime, resolution of 10+ tickets per day, 15 minutes SLA, and 24x7x365 support coverage by recruiting and hiring staff, directing operations, establishing priorities and setting deadlines. o Implemented DevOps to complement transition from waterfall to agile framework by assessing current workflow and evaluating new services/products, developing and rolling out solutions. o Managed infrastructure/application joint projects including database server upgrading and virtualization using Hyper-Converged HPE SimpliVity. o Implemented service management processes by adopting ITIL best practices and focusing on change, incident and problem management processes. o Supported strategic IT transformation from in-house staffing to a managed services approach by evaluating team members and assisting with knowledge transfer, collaborating with vendor partners and ensuring that services remained functional. Assumed additional responsibilities for managing Digital Experience projects focused on Asian/Luxury sales and customer services.
Teaching Graduate Courses on Database Design & Management. This course utilizes a combination of lectures, hands-on computer exercises and real-world database projects to accomplish the learning goals including understanding the relational database model; explaining the considerations and choices available for achieving data integrity; explaining the role of normalization in providing efficiencies and data integrity; practicing the tools and techniques for transforming business requirements into viable, efficient, and reliable databases aligned with business requirements.
• Designed and developed Entity Relationship Diagram, physical database, stored procedures and load test in application development life cycle projects. • Consulted primarily to the financial sector including an online trading finance exchange and a private equity fund.