Headline

AWS Data Architect @Visa | Technology Leader | Ex-Envestnet Yodlee, Huawei | Data Engineering, AI, Cloud, Architecture, Batch Processing, Stream Processing, Big Data Platform, Data Lake House, Machine Learning, FinTech

About

I am a Principal Data Platform & AI Architect with 20+ years of experience designing and delivering enterprise-scale data, analytics, and AI platforms across the financial services and technology domains. I specialize in building cloud-native data platforms, real-time streaming architectures, and AI/ML enablement solutions that transform data into strategic business assets. Throughout my career, I have led multiple greenfield initiatives, taking ideas from concept to production by defining technology strategy, presenting business cases to executive leadership, securing stakeholder alignment, architecting scalable solutions, and leading end-to-end delivery. My expertise includes designing batch and streaming data platforms, cloud data lakes, lakehouse architectures, feature engineering pipelines, Feature Stores, ML model integration, MLflow-based model lifecycle management, and Data-as-a-Service platforms that enable machine learning and real-time analytics at scale. I have extensive experience with Apache Spark, Kafka, Hadoop, Snowflake, Redshift, Kubernetes, Docker, MLflow, Terraform, CI/CD, and AWS services including S3, EMR, EKS, Glue, Lambda, Lake Formation, EC2, SNS, SQS, MWAA and various other services. I have partnered with AWS, Snowflake, Databricks, and Hopsworks Solution Architecture teams to modernize enterprise platforms and implement scalable cloud and AI architectures. More recently, I have leveraged Claude Code and Agentic AI to build coding agents that accelerate software development and simplify the onboarding of machine learning models onto enterprise data platforms. I regularly collaborate with executive leadership, Product, Data Science, SRE, Platform Engineering, Security, and customer teams to define architecture roadmaps, drive cloud transformation, optimize platform performance and cost, and deliver business-focused technology solutions. Core Expertise: Enterprise Data Platforms • Lakehouse Architecture • AI/ML Platforms & MLOps • Feature Engineering & Feature Stores • ML Model Integration • Batch & Real-Time Streaming • AWS Cloud Architecture • Kubernetes & Infrastructure Automation • Data Mesh & Data Governance • Technical Leadership & Enterprise Architecture. I am passionate about building scalable platforms that accelerate AI adoption, simplify data engineering, and enable organizations to operationalize analytics and machine learning at enterprise scale and derive insightful data products.

Location

Bengaluru

AI stack

claude code

cursor

mcp

openai

githubcopilot

Work experience

Data Architect at Visa, Jun 2025 - Present · 1 yr 3 mos, Bengaluru, Partnered with the AI Platform team to build an end-to-end AWS-based data platform for real-time and batch data ingestion, transformation, and curation for machine learning workloads. Established standardized data processing layers, S3 conventions, data localization controls, and automated infrastructure provisioning using Terraform and CI/CD, enabling scalable and governed ML data pipelines. Redesigned the streaming and batch data platform to support real-time AI workloads, enabling seamless onboarding of machine learning models through Helm-based Kubernetes deployments. Built an auto-scaling platform capable of supporting high TPS, leveraging Kubernetes resource scaling for high availability, elasticity, and operational efficiency. Accelerated model onboarding by developing AI-assisted coding agents and workflows using Claude and Agentic AI capabilities. Collaborated with AWS, Databricks, and Hopsworks Solution Architecture teams to define cloud migration strategies and evaluated Feature Store and Feature Engineering architectures. Contributed to the Architecture for designing the scalable platform capabilities to serve trusted data assets for machine learning, analytics, and enterprise AI use cases.

Senior Technical Architect - Data Analytics at Envestnet | Yodlee India, Mar 2022 - Jun 2025 · 3 yrs 4 mos, Bengaluru, Led the implementation of an enterprise Data Mesh architecture on AWS, enabling decentralized domain-owned data products with centralized governance. Designed secure data-sharing mechanisms, metadata-driven discovery, and policy-based access controls, empowering business domains to publish and consume governed data products across the enterprise. Led the migration of a legacy Kofax-based ETL platform to a cloud-native AWS Data Lake for Envestnet's wealth management business. Built scalable ingestion and transformation pipelines, with curated data marts published to Snowflake to support enterprise reporting and dashboarding. Led the decommissioning of the legacy on-premises Hadoop platform by migrating data, workloads, and processing pipelines to a cloud-native architecture based on Amazon S3 and Amazon EMR. This modernization improved scalability, elasticity, and operational efficiency while eliminating infrastructure overhead, vendor lock-in, and the limitations of the traditional Hadoop ecosystem. Collaborated with Databricks Solution Architects to assess workload migration and platform optimization strategies. Based on workload characteristics and cost-performance analysis, adopted a hybrid architecture that leveraged AWS-native data services for selected workloads, improving scalability, simplifying operations, and optimizing overall processing costs.

Technical Architect - Data Analytics at Envestnet | Yodlee India, Feb 2019 - Mar 2022 · 3 yrs 2 mos, Bengaluru, Led the initiative to build Yodlee’s near real-time data delivery platform to provide faster and more valuable insights to enterprise and hedge fund customers. Evaluated multiple CDC and streaming technologies, including Debezium, Oracle Golden Gate, and Strim, and selected a cost-effective architecture based on Strim, Apache Kafka. Designed scalable data marts and automated, plug-and-play data pipelines for Aggregate Products, enabling the creation and delivery of normalized consumer transaction datasets for investment firms. These data products provided aggregated spending insights across brands, merchants, and daily, quarterly, helping customers analyze consumer spending trends and make data-driven investment decisions. Drove the adoption of Snowflake as the strategic cloud data warehouse, leveraging its decoupled storage and compute architecture to deliver a more scalable, flexible, and cost-efficient analytics platform. Led the platform implementation and customer migration while partnering closely with Snowflake and Databricks Solution Architecture teams to define the target architecture, validate design decisions, and adopt platform best practices. This initiative enabled improved resource utilization, simplified operations, and a seamless transition to a modern cloud-native analytics ecosystem.

Principal Engineer - Data Analytics at Envestnet | Yodlee India, Feb 2016 - Jan 2019 · 3 yrs, Bengaluru, Led the evolution of Yodlee's cloud analytics platform by introducing scalable capabilities that improved data delivery, platform scalability, and customer adoption, establishing the foundation for next-generation analytics services. Led the implementation of Amazon Redshift as the enterprise analytical data warehouse, enabling customers to securely query and analyze billions of financial transactions. Optimized data models and query performance to deliver a scalable analytics platform that expanded Yodlee's analytics offerings and accelerated customer adoption. Redesigned the batch processing architecture by building a unified Spark Transformation Engine (Panel Generation Framework), a HOCON-based, template-driven framework that standardized data transformations. Reduced historical data processing from weeks to hours, enabling same-SLA delivery for both historical and incremental datasets. Partnered with the Machine Learning team to build the Data-as-a-Service (DaaS) layer for the Transaction Data Enrichment (TDE) platform. Designed a scalable, containerized data serving layer (Docker Swarm) that enabled seamless integration of NLP-based ML models, powering merchant identification, transaction categorization, and geo-demographic enrichment across Yodlee's data platform.

Technical Project Leader at Huawei Technologies, Jun 2011 - Jan 2013 · 1 yr 8 mos, Bengaluru Area, India and Shenzhen, Guangdong, China, Led the development of Huawei License Entitlement Management System (HLEMS), an enterprise licensing platform that enabled customers to manage software orders, entitlements, and licenses while integrating with ERP systems to streamline the end-to-end order-to-delivery process. Worked from China during the requirements and design phases and subsequently led an offshore team of six engineers to deliver middleware and web services that supported multiple enterprise applications. The platform improved licensing automation, operational efficiency, and software license compliance. Additionally, began adopting Hadoop during the early evolution of Big Data analytics, exploring distributed data processing and analytics capabilities to support large-scale data ingestion and reporting initiatives.

Senior Software Engineer at Huawei Technologies, Jun 2010 - May 2011 · 1 yr, Bengaluru, I was instrumental in the development of Huawei's Adaptive License Management platform, driving improvements in software licensing efficiency. • Designed and implemented native integrations using Java Native Access (JNA) to ensure seamless functionality. • Developed robust client-server communication components through socket programming, enhancing overall system performance. • Automated build and packaging processes via scripting, leading to increased release efficiency.

Software Engineer at Huawei Technologies, Jan 2010 - May 2010 · 5 mos, Bengaluru, At Huawei Technologies, I played a pivotal role in developing the Adaptive License Management platform, which streamlined software licensing across various product lines. My responsibilities included designing native integrations and building client-server communication components. I also focused on ensuring software quality through debugging and unit testing while automating release processes to improve efficiency.

Consultant at HCL Technologies, Jul 2009 - Dec 2009 · 6 mos, Bengaluru, Contributed to the design and development of the Document & Image Management Service (DIMS), providing a reusable service layer for storing and retrieving documents and metadata from the OpenText repository. Developed web services, document integration modules, DAO components, and business services, along with automation scripts for release, archival, and data lifecycle management. Collaborated throughout the software development lifecycle, including requirements analysis, design, development, debugging, and testing, to deliver scalable enterprise solutions for one of the top Banking Business Process Management platform.

Associate Consultant at HCL Technologies, Jun 2008 - Jun 2009 · 1 yr 1 mo, Bengaluru, Joined the HBOS core banking transformation program and quickly ramped up on enterprise integration technologies, including Java, Web Services, TIBCO BusinessWorks, OpenText, and Oracle. Developed expertise in building middleware service layers and enterprise integration solutions that supported document management and business process automation.

Software Engineer at L Cube Innovative Solutions, Jun 2007 - May 2008 · 1 yr, Tamil Nadu, India, Contributed to the development of an Electronic Medical Record (EMR) application for the healthcare domain, designed to digitize patient records and streamline clinical workflows. Worked across the application lifecycle, including requirements analysis, design, development, and database integration, building modules for patient information management and business services. Gained hands-on experience in enterprise web application development using Java, JSP, Servlets, JDBC, AJAX, XML, JavaScript, and PostgreSQL, while contributing to a scalable solution that improved healthcare record management and operational efficiency.

Associate Software Engineer at L Cube Innovative Solutions, Jun 2006 - May 2007 · 1 yr, Greater Chennai Area, Selected through campus recruitment to begin my software engineering career at CeylonSoft. As a graduate engineer, I had the opportunity to work in the healthcare domain, where I built a strong foundation in enterprise application development, software engineering best practices, and customer-focused solution delivery.

Education

B.Tech, Computer Science & Information Technology, Jawaharlal Nehru Technological University