Capstone Integrated Solutions

• Participate in data discovery workshops to inventory source systems including property management platforms, marketing channels, and CRM data, and translate findings into data lake architecture requirements. • Design and implement a multi-zone enterprise data lake on Amazon S3 (raw, conformed, enriched, aggregated) with ingest, cleansing, and business layers aligned to the SOW architecture. • Build batch and streaming data ingestion pipelines using AWS Glue, Amazon Kinesis, and AWS Data Pipeline across CDP, marketing, and property management data sources. • Implement data transformation and orchestration frameworks using AWS Glue ETL and AWS Step Functions, including AWS Glue Data Catalog for metadata management and discovery. • Configure Amazon Athena for serverless SQL querying across the data lake; support QuickSight integration with curated data sets for business analytics. • Develop and deploy ML models on Amazon SageMaker for lead scoring, predictive maintenance, intelligent underwriting risk scoring, and AI-powered audience segmentation. • Integrate Amazon Bedrock foundation models to enable generative AI capabilities including customer profile enrichment, hyper-personalization, and intelligent marketing automation. • Use Kiro CLI to accelerate AI-assisted development workflows, spec-driven pipeline implementation, and automated code generation tasks. • Design and implement entity resolution pipelines using Amazon Entity Resolution to identify, deduplicate, and merge customer records into unified golden records. • Implement real-time and batch data synchronization pipelines between source systems and the Customer Data Platform (CDP). • Support Azure data lake migration: conduct discovery, assess schemas and transformation logic, provision AWS target environments, execute migration via AWS DataSync, and perform data validation and reconciliation. • Implement data lake security using AWS Lake Formation, including row-level security and column-level encryption. • Build and maintain data models to support Customer 360 views, ML feature stores, and executive analytics dashboards. • Ensure data quality, validation, and integrity across all pipeline stages and ML model outputs; support UAT for data-dependent features. • Collaborate with Full Stack, DevOps/MLOps, and AWS engagement teams; contribute to architecture documentation, pipeline runbooks, and data governance documentation.

• Partner with business stakeholders to document, validate, and refine MFP business processes and workflows. • Lead and facilitate User Acceptance Testing (UAT): write test scripts, coordinate testing sessions, track defects, and drive resolution. • Develop and deliver end-user training materials including job aids, quick reference guides, and instructor-led training sessions. • Create and maintain use cases, business requirements documentation, and functional specifications aligned with the MFP implementation. • Act as a subject-matter resource to end users during go-live and hypercare periods, answering functional questions and escalating issues appropriately. • Collaborate closely with technical consultants and vendors to translate business needs into system configuration requirements. • Support change management activities including stakeholder communication, impact assessments, and readiness reviews. • Facilitate working sessions and workshops with planning, merchandising, and finance teams to gather requirements and validate solution design. • Assist with data validation and reconciliation to ensure planning outputs align with business expectations. • Contribute to future-phase demand forecasting implementation as the engagement progresses (Board / Tulio).

• Design and develop the application architecture, UI/UX, and technical requirements during the Discovery & Design phase. • Build and deploy a document upload portal enabling subcontractors to submit insurance certificates, bonding letters, and financial statements. • Develop RESTful and serverless APIs using AWS Lambda and Amazon API Gateway to support frontend/backend integration. • Integrate AI-powered document validation and exception management workflows driven by Amazon Bedrock. • Develop and host frontend applications using AWS Amplify and Amazon S3. • Participate in CI/CD pipeline setup, automated testing, and deployment to production environments. • Collaborate with cross-functional team members including AI/ML, DevOps, and Data Engineering resources. • Conduct integration testing, support user acceptance testing (UAT), and develop user training materials. • Contribute to knowledge transfer documentation and post-deployment operations guides.

• Collaborate with cross-functional engineering, infrastructure, and AI teams to design, implement, and maintain scalable AWS cloud environments and CI/CD pipelines. • Build, automate, and manage AWS-based infrastructure supporting development, production, and AI/ML workloads. • Design and maintain Infrastructure as Code (IaC) solutions using Terraform, AWS CDK, and CloudFormation. • Develop and optimize CI/CD pipelines using Azure DevOps and GitHub Actions/GitHub CI/CD workflows. • Support deployment, monitoring, automation, and operational excellence across cloud-native applications and services. • Work closely with development and AI teams to integrate modern AI tooling and automation capabilities into engineering workflows. • Implement best practices around reliability, scalability, observability, security, and performance optimization in AWS environments. • Participate in architecture discussions, infrastructure planning, troubleshooting, and continuous improvement initiatives. • Support MLOps-related workflows and infrastructure for AI-enabled applications and services.

• Lead data architecture design, API assessment, and ETL requirements gathering during the Discovery & Design phase. • Develop and configure CMIC ERP API integration to establish reliable data exchange between the ERP system and the AWS platform. • Design and implement data pipelines using AWS Glue for ETL processing of subcontractor documents and ERP data. • Integrate Amazon Textract to extract structured data from insurance certificates, bonding letters, and financial documents. • Build and maintain data models to support AI-powered validation, risk profiling, and executive reporting. • Configure Amazon S3 data lake architecture to store and manage raw, processed, and curated data assets. • Implement AWS Lambda and AWS Step Functions to orchestrate data workflows and automated processing pipelines. • Develop and expose data through Amazon API Gateway to support application and dashboard consumption. • Ensure data quality, validation, and integrity across all integration points and pipeline outputs. • Conduct data integration testing and support user acceptance testing (UAT) for data-dependent features. • Collaborate with Full Stack, AI/ML, and DevOps team members to ensure seamless end-to-end data flows. • Contribute to knowledge transfer documentation, data pipeline runbooks, and operations guides.

• Design and develop the application architecture, UI/UX, and technical requirements during the Discovery & Design phase. • Configure and integrate AWS SES for automated email delivery and Amazon QuickSight for executive-facing dashboards. • Build and deploy a document upload portal enabling subcontractors to submit insurance certificates, bonding letters, and financial statements. • Develop RESTful and serverless APIs using AWS Lambda and Amazon API Gateway to support frontend/backend integration. • Create real-time status and risk profiling dashboards in Amazon QuickSight integrated with CMIC ERP data. • Integrate AI-powered document validation and exception management workflows driven by Amazon Bedrock. • Build and manage automated subcontractor outreach features including personalized email generation and response tracking via Amazon SES. • Develop and host frontend applications using AWS Amplify, Amazon S3, and Amazon CloudFront. • Participate in CI/CD pipeline setup, automated testing, and deployment to production environments. • Collaborate with cross-functional team members including AI/ML, DevOps, and Data Engineering resources. • Conduct integration testing, support user acceptance testing (UAT), and develop user training materials. • Contribute to knowledge transfer documentation and post-deployment operations guides.

• Design, develop, and maintain scalable full stack applications using React.js and TypeScript • Build and optimize backend services using AWS Lambda (serverless architecture) • Develop and integrate APIs using AWS AppSync, GraphQL and WebSockets for real-time features • Work with DynamoDB and PostgreSQL for efficient data modeling and storage • Collaborate with cross-functional teams (engineering, product, QA) in a distributed, multinational environment • Ensure high performance, scalability, and reliability of applications in AWS • Contribute to architecture decisions and best practices across the stack

• Lead the end-to-end solution architecture of applications hosted in AWS, ensuring scalability, reliability, performance, and security. • Collaborate with stakeholders to translate business requirements into technical designs and solution roadmaps. • Design and guide development of modern, responsive frontends using Angular and robust, scalable backends using Python FastAPI and SQLAlchemy. • Architect and implement API strategies, including RESTful and GraphQL services. • Define and implement cloud-native architectures, including serverless, container-based (ECS/EKS), or microservices-based solutions. • Design data storage and integration strategies (RDS, DynamoDB, S3, Glue, Lambda, etc.). • Ensure application security best practices, including IAM roles, API Gateway, encryption, and compliance with standards. • Establish and enforce Azure DevOps CI/CD pipelines for streamlined deployments. • Mentor development teams on design patterns, coding standards, and AWS cloud adoption. • Provide thought leadership and stay updated on emerging technologies in cloud, frontend, and backend development. • Provide thought leadership and advisory guidance on cloud adoption, migration planning, and workload onboarding to the landing zone. • Troubleshoot technical challenges and act as a subject matter expert for AWS platform services, security, networking, and compliance.

• Collaborate with cross-functional teams to design, develop, and maintain software solutions. • Work on AWS database and API development tasks. • Assist in the integration of the developed solutions with existing systems and databases. • Participate in the entire software development lifecycle, from planning and design to deployment and maintenance.

• Serve as the technical lead for a cross-functional development pod, overseeing day-to-day engineering activities. • Translate solution architecture and business requirements into detailed technical designs and implementation plans. • Develop and maintain robust, scalable, and secure backend services in Python (FastAPI). • Lead development of modern, responsive frontends using Angular. • Ensure proper design and implementation of APIs, microservices, and integration points. • Collaborate closely with the AWS Solution Architect to align development with overall architecture, scalability, and security goals. • Drive adoption of best practices in coding standards, design patterns, unit testing, and code reviews. • Guide the team in implementing CI/CD pipelines, automated testing, and DevOps practices. • Mentor junior and mid-level developers, fostering skill growth and knowledge sharing. • Participate in sprint planning, backlog grooming, and estimation to ensure realistic delivery commitments. • Troubleshoot complex technical issues and provide hands-on problem resolution. • Contribute to continuous improvement in development processes, tools, and team effectiveness.