Singapore, Singapore
A seasoned technology leader with 23+ years of comprehensive international experience in conceptualizing, constructing, migrating, and managing infrastructure and data analytics & Gen AI workloads on Google Cloud Platform (GCP) and Amazon Web Services (AWS) at scale. Currently serving as a Lead Architect for Data & AI, supporting Google Cloud customers. Key contributor in the development of AWS Proactive Services and technology practice lead for Data & AI at Amazon Web Services. Held the position of Principal Technology Practice Lead (Data Analytics) for AWS Proactive Services, which focuses on driving customer success in the "build," "run," and "operate" phases of Data Analytics workloads for Enterprise Customers. Responsible for leading the team and developing five consultative offerings for AWS Proactive Services. Representing AWS/GCP and cultivated technical relationships with executives to facilitate the implementation of successful architectural and operational best practices for complex Data Analytics and AI solutions for prioritized top AWS/GCP customers. Proven track record of delivering on-time results from ideation to production, combining startup agility with Enterprise best practices. Engaged in architecture, build, migration, and operations for both pre-sales and post-sales engagements for various Fortune 500 customers and leading startups, including Grab, Freshdesk, and many others from diverse sectors across various geographies during their hyper-growth journey into the cloud. Instrumental in the successful execution of Data Analytics, AI Workloads and optimization for Grab, Gojek, Tokopedia, J&J, Singapore Airlines, LG, Lotte, Toyota (Connected Car Platform), Samsung, and McGraw Hill. Over 11+ years of experience in AWS/Google cloud computing services, particularly in full-stack infrastructure, data, AI, and analytics domains, with robust solution architecture, consulting, and building expertise. Demonstrated proficiency in developing GTM and adoption strategies for respective domains, executing as per regional objectives and priorities. Hold 16+ industry certifications from GCP, AWS, EMC, Symantec, HP, and SUN and possess proven experience in those domains. Currently representing Google Cloud as Lead Architect for Data Analytics & AI for South East Asia. Key Leadership Contributions Pioneered AWS Proactive Services, driving customer success and revenue growth. Delivered significant cost reductions and performance improvements on Data platforms for prominent clients including Grab, J&J, Toyota, Gojek, Freshworks, Trend Micro and SIA
Leading a high-performing, multi-disciplinary organization of data, AI/ML, platform engineering team. This team is the engine driving the architecture, execution, and scale of the solutions that power Prudential's Data & AI transformation. * Spearheading Prudential's North Star 'Data Uplift' transformation, modernizing Data & AI capabilities across 9 international markets. * Architecting a unified, multi-cloud data ecosystem on Azure Databricks and Google Cloud (BigQuery, Vertex AI) to drive enterprise-wide standardization. * Delivering 20+ foundational capabilities—including robust Data Governance with a multi-domain, multi-cloud MDM, advanced AI/ML Maturity, and enhanced Observability—to accelerate innovation and empower data-driven decisions group-wide.
Lead Data & AI Architect with deep expertise in the Google Cloud Platform (GCP) ecosystem, driving innovative and scalable solutions for data-driven businesses including GoJek, Tokopedia, GXS, Carro. Data Engineering: Designed and implemented high-throughput data pipelines on GCP, leveraging Dataflow, Pub/Sub, and Cloud Composer for real-time and batch processing. Data Warehousing & Analytics: Architected and optimized scalable data warehouses on BigQuery, delivering efficient analytics and reporting. Implemented Looker for interactive visualizations and dashboards. Data Governance: Implemented and managed data governance policies and procedures using Dataplex to ensure data quality, security, and compliance across the organization. AI/ML Development & Deployment: Utilized Vertex AI to build, deploy, and manage diverse machine learning models, including custom development and AutoML solutions. Data Science Collaboration: Partnered with data scientists to explore, analyze, and prepare data using AI Platform Notebooks and BigQuery ML. Cloud Migration & Optimization: Led successful migrations of large-scale on-premises data warehouses to BigQuery, achieving cost reductions of 40-50% and significant performance improvements. AI Platform Architecture: Architected scalable AI platforms on Vertex AI, empowering data scientists to rapidly experiment with and deploy machine learning models.
Strategic SRE Consultation: Develop and implement SRE roadmaps tailored to each customer's unique goals and challenges. Evangelize Google Cloud's SRE philosophy and best practices, adapting them to fit specific customer environments. Technical Leadership: Lead workshops, training sessions, and knowledge-sharing initiatives to upskill customer SRE teams.
Focus Areas: Cloud Transformation Architect specializing in Google Cloud Platform (GCP), empowering organizations to unlock the full potential of cloud technologies. Value Hypothesis Development: Led the development of compelling value hypotheses for large and complex customers, quantifying the potential business impact of cloud adoption and transformation initiatives. Cloud Transformation Strategy: Defined and executed comprehensive cloud transformation strategies, aligning technology with business goals to drive innovation, efficiency, and agility. Platform Modernization: Guided customers through the modernization of their existing platforms, leveraging GCP's data analytics capabilities. Framework Development: Authored a proprietary cloud transformation framework, providing a structured approach to assess, plan, and execute cloud adoption projects.
As a Head of Data Analytics Solution Engineering I was responsible and accountable for leading the team and implementing customer data platforms, enterprise data warehouse, ETL pipelines and BI dashboards. Focus Areas: Data & Analytics Leadership: Defined and implemented data standards and solution engineering strategy across APAC, ensuring high-quality, scalable, and secure data solutions for customers. Cloud-Based Data Architecture: Architected comprehensive data solutions on AWS and Azure, encompassing data ingestion, ETL pipelines, data warehousing, and BI tools. Stakeholder Collaboration: Partnered with business stakeholders to design and deliver data and analytics solutions that met their specific needs and drove business value. Technology Expertise: Leveraged a wide range of AWS and Azure services, including Kinesis, Firehose, Glue ETL, Glue DataBrew, EMR, Athena, Redshift, QuickSight, and their Azure equivalents. Data Governance & Security: Established and enforced data governance standards, ensuring data security, privacy, and compliance throughout the data lifecycle. AI Strategy Integration: Developed and implemented an AI strategy, incorporating data analytics and AI/ML capabilities into customer solutions to drive innovation and business outcomes.
AWS Proactive Services Pioneer: Led the global data and analytics practice, building 5 automation-assisted consulting offerings for AWS Proactive Services. Team Leadership & Development: Managed a cross-functional team of developers and consultants, scaling the delivery of proactive services globally. Framework Development & Adoption: Authored two frameworks for qualification, build, and delivery phases of AWS Proactive Services, successfully adopted by 10 other domains within the organization. Enablement & Pipeline Generation: Empowered field teams (TAMs and SAs) to identify and drive opportunities for specialist data and analytics engagements. Large-Scale Modernization Initiatives: Guided top 50 global AWS customers through large-scale migrations of on-premises data workloads (Spark, Elasticsearch, Kafka) to AWS managed services. Data & AI Solution Design: Developed data and analytics blueprints for enterprise customers, capturing use cases, challenges, and requirements to modernize their platforms. Technical Enablement: Designed and delivered customer-facing workshops on industry trends and AWS data and AI services to drive adoption. AI/ML Expertise: Demonstrated deep domain knowledge in AI and machine learning, advising customers on ML service selection, data processing optimization, and algorithm selection. Partnered with data scientists and ML engineers to accelerate data preparation and model development using AWS services. https://aws.amazon.com/premiumsupport/technology-and-programs/proactive-services/ Amazon Redshift Operational Review Amazon Elasticsearch Service Operational Review AWS Glue Operational Review Analytics Operational and Launch Readiness Review AWS Glue Operations Workshop
As a key member and a technology practice lead for a team of Data Analytics Specialists in Amazon Web Services, I represent AWS and manage technical relationships with C-level executives, Data Engineering, Data Science teams to facilitate implementation of successful architectural, operational best practices of complex Big Data & Analytics solutions for top 50 AWS customers across APJC. Large-Scale Modernization Initiatives: Guided top 50 global AWS customers through large-scale migrations of on-premises data workloads (Spark, Elasticsearch, Kafka) to AWS managed services. Data & AI Solution Design: Developed data and analytics blueprints for enterprise customers, capturing use cases, challenges, and requirements to modernize their platforms. Technical Enablement: Designed and delivered customer-facing workshops on industry trends and AWS data and AI services to drive adoption. AI/ML Expertise: Demonstrated deep domain knowledge in AI and machine learning, advising customers on ML service selection, data processing optimization, and algorithm selection. Partnered with data scientists and ML engineers to accelerate data preparation and model development using AWS services.
As a lead of the ASEAN enterprise services team, I have directly managed technical relationship with CXO of the flagship accounts including Grab. I have been a catalyst in leading a larger global team, in resolving each and every technical architecture and scale issue during the Grab's acquisition of Uber South East Asia business for 150+ applications in AWS. Enterprise Support Leadership: Drove customer success by ensuring seamless building and migration of applications, software, and services to the AWS platform for large-scale customers like Grab, Gumi, Traveloka, and Zalora. Revenue Growth & Optimization: Aligned with sales leadership to identify regional priorities and develop specialized offerings, such as the "Redshift Recovery Program," which significantly increased APAC data services revenue. Thought Leadership & Knowledge Sharing: Acted as a "Content Tribe Lead" for the APJC Tech Summit, sharing expertise on architectural best practices, industry trends, and cloud adoption strategies. Consulting & Technical Expertise: Demonstrated deep technical knowledge across a broad range of AWS services, helping customers re-architect and build scalable platforms, optimize costs, and address operational challenges.
Design, Build and Run DC infrastructure for large customers. Lead a team of 30+ and managed large scale end to end DC transformation projects to migrate, consolidate, virtualize the Data Centers. Specialized in building private cloud infrastructure, conceptual VBLOCK and transformation projects for Fortune 500 companies like Citibank, Toys R Us, Avago Technologies, Sky Italia, Ingram Micro, Disney across US, EMEA & APAC. Awarded by HCL for my contribution towards Citigroup DC Build. Awarded twice by Avago Technologies for DC Migration & Storage Migration Awarded (O2 trophy) by HCL for consistently ranked as Outstanding Performer for 4 years in a row. Key Projects & Achievements: Ingram Micro: Led the design and implementation of a private cloud infrastructure across three global data centers, comprising 800+ SUSE Linux servers, Cisco UCS Blades, ESX, and EMC VMAX storage. Migrated 90+ SAP applications to the private cloud, significantly improving provisioning time and resource utilization. Implemented automation for OS installation, configuration, and storage provisioning, enhancing efficiency and security. Sky Italia: Led a 12-person team to successfully transition Sky Italia's 700+ server Linux/HP-UX environment from a third-party provider. Stabilized operations and ensured disaster recovery readiness through rigorous testing and adherence to RTO/RPO objectives. Avago Technologies: Led the global transition of Avago's 180+ server Linux/HP-UX environment from Hewlett Packard. Planned and executed a complex data center migration and storage refresh project, implementing virtualization, storage replication, and security measures.