Jeyaraj B

As a Lead Architect for Data Analytics I am responsible for designing and architecting Data Platforms that are optimized for cost, performance, security and scale.

• Working with the top 5 customers across the region including GoTo group and helping them architect, build, optimize their Data Platforms
• Specialized in architecting Data Mesh, Data WareHouse and ETL pipelines using Google Cloud and open source technologies

As a Cloud Transformation Architect for SEA I was responsible for building Cloud Transformation blueprints and designing solutions on Google Cloud Platform aligned to the vision and blueprint.

• Built a Cloud Transformation Framework and written detailed execution Playbook for Alignment, Discovery and Transformation phases focusing on activities, deliverables and outcomes for successful transformation.
• Building Cloud Transformation blueprint aligned to the vision of google cloud customers who are large and complex and help them to transform their platform capabilities.
• Strategize and Architect Technology solution in the area of Data Analytics Modernization. Application Modernization and Site Reliability Engineering as per the transformation blueprint.
• Part of the team that led the Digital Transformation initiatives for Indosat telecom in delivering the solutions.

As a Head of Data Analytics Solution Engineering for APAC I was responsible and accountable for leading the team and implementing customer data platforms, enterprise data warehouse, ETL pipelines and BI dashboards.

• Define and set the data standards and analytics solution engineering strategy across APAC for customer solutions.
• Architecting data solutions with AWS and Azure cloud-based data ingestion, ETL, Data warehousing architecture and BI tools.
• Working closely with business stakeholders to design data and analytics solutions. By leveraging AWS and Azure cloud Services like Kinesis Streams, Firehose, Glue ETL, Glue Data brew, EMR, Athena, Redshift, Quicksight and Azure Synapse.
• Liaise with customers, stakeholders, and team members to ensure the AWS Specialist team is improving the time to value and accelerating customer's analytics pipeline and big data workload implementation.
• Manage and roll-out data governance standards, data security, and privacy disciplines.
• Derive the AI strategy by embedding Data Analytics and AI in the solutions that are provided to customers.

Acting as a global technology practice lead for a team of Analytics Specialists in Amazon Web Services. Responsible for building Proactive Specialist Services and building a suite of Analytics catalog entitlements for customers. 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. In addition, I liaise with customers, stakeholders, and project teams to ensure the AWS Specialist team is improving the time to value and accelerating customer's analytics pipeline and big data workload implementation in the Run and Operate phase.

• Build deep relationships with decision makers within customer accounts to enable them to be “Cloud advocates”
• Expert understanding of ETL principles and apply them within Big Data workloads using AWS services (EMR,Glue,Athena,Kinesis,Redshift,Quicksight etc...)
• Demonstrated domain knowledge in AI & Machine Learning.
• Liaise with customers, stakeholders, and team members to ensure the AWS Specialist team is improving the time to value and accelerating customer's analytics pipeline and big data workload implementation.
• Developing long term mechanisms and strategic frameworks including Build, Qualification and Delivery of entitlements to customers.
• Ability to present complex technology solutions in a simple way as well as the ability to drill-down to detail.
• Ability to provide strong technical and developmental guidance to team members.
• Share customer feedback to internal product management and engineering teams to help drive the future of Amazon Web 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.

As a key member and lead of the ASEAN enterprise services team, I have lead technical relationship the flagship accounts including Grab. I ensure success in building and migrating applications, software and services onto the Amazon Web Services platform. Demonstrate architectural and operational best practices applied across a breadth of technologies to solve organizational problems, articulate views/roadmaps for future development, and understand the interaction between infrastructure, operations, and development

• Build deep relationships with decision makers within customer accounts to enable them to be “Cloud advocates”
• Coach technical managers in the skills needed to conduct one-to-few and one-to-many consulting sessions so they can transfer deep technical skills to customers who are using Amazon Web Services
• Work with the team to organize technical workshops and facilitate the sharing of knowledge across teams; understand regulations and operational excellence; familiarity with business strategy and trends in the IT industry (e.g., CI/CD, IoT, Predictive Analytics
• Capture and share best-practice knowledge amongst the Amazon Web Services TAM community
• Share customer feedback to internal product management and engineering teams to help drive the future of Amazon Web Services.

Advisory and advocate for AWS Strategic customers, providing a highly personalized level of consulting on architecture, operational best practices of running large scale workloads; and a direct escalation path to product teams. Provide assistance to customers as an expert on the full line of AWS services and the customer’s architecture in support of strategy questions, and ensure customer success in building services on the AWS platform. Handling Startups and Fortune 500 customers in ASEAN focusing (Enterprise Security, Gaming, Banking, Mining, Telco) companies.

• Running workshops focused on DevOps and Big Data Analytics
• Automation of both server and serverless micro-services, build CI/CD pipeline using AWS services
• Scaling Analytic workloads on Hadoop ecosystem and other data warehousing solutions
• Architect data lake solutions for large scale workloads using EMR, Redshift, AWS Batch, Lambda etc...

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, disaster recovery and conceptual VBLOCK. Have a proven track record of transformation projects for Fortune 500 companies like Citibank, Toys R Us, Avago Technologies, Sky Italia, Ingram Micro, Disney across US, EMEA & APAC.

Team Lead responsible for Unix & Storage remote infrastructure operations for leading airlines and travel companies in US. Build, run and manage high availability solutions using Sun & Veritas Cluster Server.

SME responsible for automation and deployment of tools like CA eTrust Access Control, NDM, Powerbroker on vast fleet of Unix infrastructure. Develop Solaris packages for reapeatable deployment of solutions across business functions. Ensure compliance of CISO guidelines on the infrastructure and applications. Review architecture to identify gaps, perform DR drills to ensure business continuity.

Subject Matter Expert responsible for supporting Sun SPARC servers & Ray Thin Clients deployed in various DC's across the US & EMEA. Awarded as the best agent for my contribution towards identifying the bugs in Sun Java Desktop Systems (JDS), a successor of GNOME desktop.

Implementation & support of entry level to high end Sun servers & storage for Enterprise customers like Tata Group, Wipro, Infosys, Satyam all over India. Lead the Enterprise Support division for South India handling a team of Sun support engineers.