Senior Engineering Lead Cloud-Native Architect

Personal Details

Languages Known: English/Telugu/Hindi

Passport No.: K7661673

Academic Details

B.Sc. Andhra University

Trainings

AI/ML, GenAI

Google Cloud Platform (GCP)

Microsoft Azure Foundation Course

Agile methodologies

Profile Summary

Engineering Lead / Architect with 17+ years of experience designing and delivering scalable, distributed, cloud-native systems across banking and enterprise domains.

Expert in system design (HLD/LLD), microservices architecture, event-driven systems, and high-availability platforms on AWS, Azure, and GCP.

Strong experience in building AI/ML and Generative AI solutions including LLM-based applications, RAG pipelines, Vector Databases, and intelligent automation systems.

Proven track record of leading high-performing engineering teams, driving architectural decisions, and delivering resilient, secure, and cost-optimized platforms at scale.

Certifications

MCP certified from Microsoft

Azure certified from Microsoft

Gen AI Foundamentals

Core Competencies

Engineering Leadership & Team Development

Cloud Native Architecture (AWS, Azure, GCP)

Application Performance, Scalability & Security

Product-centric Software Development

Agile Delivery & Cross-Functional Collaboration

Gen AI/ ChatBots/ AI/ML

Automation Tools, DevOps, CI/CD

System Architecture & API Design

Stakeholder & Executive communication

Technical Proficiencies:

Languages & Frameworks: C#, .NET Core, ASP.NET, Java, Angular, ReactJS, JavaScript, TypeScript, NodeJS, SQL, Python, REST APIs, Microservices Architecture

Architecture & Engineering: System Design (HLD/LLD), Distributed Systems, Microservices, API Design, Design Patterns

Cloud Platforms: Azure, AWS (SQS, SNS, S3, Lambda, EKS etc.), GCP (BigQuery, Dataflow, Cloud Functions, Pub/Sub), Cloud Run, Vertex AI

DevOps & Tools: CI/CD Pipelines (Jenkins/Harness/ GitHub Actions), Docker, Kubernetes, Kafka, JIRA, ServiceNow, APIGEE, Terraform, Helm, TDD/BDD, Automated Testing, DevSecOps

GenAI & Machine Learning: LLMs (OpenAI, Gemini, LLama), LangChain, RAG Pipelines, Vector Databases (Chroma), Prompt Engineering, Fine-tuning, Embeddings, Model Evaluation, Vertex AI / Azure ML, NLP & Text Analytics, Document Intelligence, Chatbot Orchestration

Databases: SQL Server, NoSQL, MySQL, MongoDB, Oracle, BigQuery

Methodologies: Agile, Scrum, Kanban, TDD, CI/CD, DevSecOps

Automation Tools: BluePrism, UIPath, Power Automate, Blazemeter, Playwright, Selinium

Architecture & System Design:

Distributed Systems & Microservices Architecture

Event-Driven Architecture (Kafka, Pub/Sub, SQS/SNS)

Design Patterns: CQRS, Saga, Circuit Breaker, Retry

API Design & API Gateway (Apigee, REST)

Cloud-Native & Serverless Architecture

High Availability, Scalability & Fault Tolerance

Observability: Logging, Monitoring, Tracing (OpenTelemetry)

Data Architecture: ETL/ELT, Streaming Pipelines, Data Lakes

Security & Compliance (OAuth2, JWT, DevSecOps)

Multi-tenant SaaS Architecture & Domain-Driven Design (DDD)

Significant Accomplishments:

Improved product quality by 90%, reducing open defects from 200+ to fewer than 20 prior to release through process re-engineering and automated testing.

Accelerated delivery timelines by 30% by introducing Agile ceremonies, automated CI/CD pipelines, and performance engineering best practices.

Reduced cloud costs by 25% via GCP BigQuery partitioning, query optimization, and cost-monitoring dashboards.

Increased engineering team throughput by 40% through workload balancing, performance metrics, and cross-functional collaboration.

Directed multiple global software modernization initiatives, resulting in higher reliability, faster time-to-market, and measurable ROI improvement.

ANNEXURE

Projects

At Wells Fargo, Hyderabad Engineering Lead Apr 2023 – Present

Projects: DAR (Data Analytics & Reports), AMLIA Orchestration, Cognitive ChatBot

Architected & led a cross-functional engineering team delivering enterprise analytics and AI-driven products for multiple Lines of Business, ensuring alignment with product goals and business priorities.

Owned the end-to-end architecture and delivery of KPI and metrics platforms built using React, Python, .NET Core, and SQL Server, enabling data-driven decision-making across the organization.

Directed the design and implementation of a cloud-native analytics platform on GCP, processing terabytes of near real-time data using BigQuery, Dataflow, and Pub/Sub, with a strong focus on scalability and reliability.

Drove the evolution of the DAR platform by introducing GenAI-powered analytics and conversational experiences, leveraging LangChain and RAG pipelines to improve data accessibility and user engagement.

Oversaw the development and operationalization of ETL pipelines and data governance frameworks, achieving 99.9% system availability, audit compliance, and consistent releases through automated CI/CD pipelines.

Partnered with product managers and business stakeholders to define reporting requirements and delivered executive-level Looker dashboards, improving KPI visibility and accelerating decision-making by 35%.

Spearheaded a GenAI chatbot initiative, guiding architecture and delivery using microservices, Azure, Kafka, and DevOps best practices, resulting in a 20% reduction in support tickets and increased self-service adoption.

Mentored and coached a 10-member engineering team, supporting career growth, improving technical depth in cloud and microservices, and fostering a culture of ownership and continuous improvement.

Established and enforced standards for code quality, security, and maintainable architecture through design and code reviews.

Acted as an escalation point for production incidents, performance bottlenecks, and reliability issues, driving root cause analysis and long-term system improvements.

At Qualizeal, Hyderabad Architect Jun 2021 – Apr 2023

Projects: Neptune360

Directed development of a multi-tenant SaaS platform on AWS and .NET Core, supporting 100K+ users.

Designed and implemented microservices-based architecture using .NET Core, ReactJS, and SQL Server on AWS.

Introduced automated regression testing and CI/CD using Jenkins, reducing release time from weeks to days.

Collaborated with product owners to prioritize roadmap features, improving client satisfaction scores by 25%.

Defined coding standards and architectural guidelines that improved code reusability by 40%.

Guided an 8-member development team to meet all sprint deliverables ahead of schedule.

At Wells Fargo India Pvt. Ltd, Hyderabad Team Lead Apr-2014 to Jun 2021

Projects: ShareOwner Services, SLST Context Designer

Led multiple mission-critical financial platforms serving millions of users globally.

Architected and delivered ShareOwner Services (SOS), improving transaction processing efficiency by 50% and reducing manual interventions.

Drove Agile adoption across the team, achieving 100% sprint delivery compliance.

Designed WCF and REST APIs for secure integration with legacy mainframe systems, improving reliability and reducing downtime incidents by 35%.

Oversaw UI/UX modernization using Angular and MVC, resulting in a 25% increase in user engagement.

Work Experience

Technology Lead – Tata Consultancy Services (Mar 2011 – Apr 2014) Clients: Western Union, Microsoft Skype

Consultant – Capgemini (Feb 2010 – Feb 2011) Client: First Data Consulting, Germany

Software Engineer – Satyam Computer Services (Apr 2007 – Feb 2010) Clients: Microsoft, CitiGroup, Merrill Lynch

Pavan Namballa

Engineering Lead Architect Staff Software EngineerSStaff Engineer Solution Architecttaff Engineer Solution Architect

“Good experience in executing development projects and upgrades; ramping-up projects within time, budget & quality parameters, as per project management & best practice guidelines”

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