Naveera Technology LLC

Data Engineer

• Collaborate with Product Managers, Business Analysts, DevOps teams, Engineering teams, PMO.
• Deliver scalable enterprise cloud solutions.
• Provide architectural options and technical recommendations.
• Conduct cost-benefit analysis and risk assessments.
• Lead the modernization of data platforms, ETL pipelines, and analytics ecosystems.

Lead GCP Data Architect

Data Analyst

• Collaborate with Product Managers, Business Stakeholders, and Engineering teams to gather, analyze, and document business requirements
• Translate business requirements into detailed functional and technical specifications
• Define product features, acceptance criteria, user stories, and business workflows
• Analyze large datasets to identify trends, business insights, and optimization opportunities
• Work with GCP Data Engineering teams to deliver scalable analytics solutions
• Develop business dashboards and executive reports

Technical Product and Data Business Analyst, GCP Analytics

Cloud Engineer

• Design & System Evolution: Decompose complex business scenarios into clean, service-based architectures and distributed systems.
• Modernize legacy platforms with a focus on simplicity, maintainability, and long-term ROI.
• Domain Alignment: Translate complex orthodontic insurance rules (claims, eligibility, remittance) into clean, high-performing technical solutions.
• Epic Ownership: Own the delivery of Epics end-to-end, actively managing risks, dependencies, and team-level DORA KPIs while ensuring system performance and delivery reliability.
• Full-Stack Development: Write clean, robust, and maintainable code across the stack, leveraging modern JavaScript frameworks (React) on the frontend and .NET Core/.NET Framework on the backend.
• AI-Assisted Engineering: Champion responsible, AI-assisted development. Actively integrate AI tools (e.g., Claude, GitHub Copilot) to automate design, test generation, and code reviews, and build agentic workflows to drive team efficiency.
• Software Design & Quality: Set rigorous standards for code quality through constructive code reviews, comprehensive automated testing (including AI-driven test suites), and continuous integration/delivery (CI/CD).
• Technical Leadership & Mentorship: Guide junior and mid-level engineers on software design patterns, debug cross-module issues, and act as a professional stakeholder manager who can navigate technical disagreements constructively ("disagree and commit").

Senior .NetCore Engineer, ReactJS, AWS, Claude AI

AI Engineer

• Design, develop, and deploy end-to-end machine learning and deep learning models.
• Build scalable solutions for large-volume data processing.
• Develop and optimize Generative AI applications using LLMs.
• Collaborate with cross-functional teams on use cases in insurance.
• Ensure model performance and monitoring in production environments.

Senior AI & Machine Learning Engineer – Lead – Architect – Head

• Lead end-to-end migration of enterprise data platforms from AWS to Google Cloud Platform
• Design migration strategies for AWS Redshift, Glue, S3, DynamoDB, Data Lakes, Data Warehouses, and ETL pipelines into GCP-native services
• Modernize existing AWS data architectures using Google Cloud best practices
• Assess existing AWS environments and recommend optimized GCP solutions
• Ensure seamless migration with minimal business disruption
• Design scalable batch and streaming data pipelines using Google Dataflow (Apache Beam)
• Develop event-driven architectures using Google Pub/Sub
• Build enterprise analytical solutions using BigQuery, including streaming inserts and performance optimization
• Develop and orchestrate workflows using Cloud Composer (Apache Airflow)
• Manage enterprise-scale storage using Google Cloud Storage (GCS)
• Implement cloud-native data engineering solutions following Google Cloud best practices
• Design, develop, and optimize ETL/ELT pipelines using AWS Glue and AWS Glue DataBrew
• Work extensively with Amazon Redshift, Amazon S3, and DynamoDB
• Develop scalable ETL workflows using Python, PySpark, and SQL
• Build and maintain Data Lakehouse architectures supporting enterprise analytics
• Optimize data ingestion, transformation, and loading processes across hybrid cloud environments
• Design modern Data Lakehouse, Data Warehouse, and Data Lake architectures
• Develop dimensional data models, star schemas, and optimized analytical datasets
• Build transformation pipelines using DBT (Data Build Tool)
• Write and optimize complex SQL queries for high-performance analytics
• Ensure data quality, governance, metadata management, and performance optimization
• Lead migration of enterprise dashboards from Qlik Sense to Looker
• Translate business reporting requirements into scalable semantic models
• Optimize reporting performance using BigQuery and LookML best practices
• Collaborate with business stakeholders to modernize enterprise reporting platforms
• Lead architecture design sessions and cloud migration workshops
• Mentor Data Engineers and establish engineering best practices
• Conduct architecture, code, and design reviews
• Collaborate with business, DevOps, QA, and Analytics teams
• Coordinate effectively with onsite and offshore delivery teams
• Implement enterprise security standards across AWS and GCP
• Define IAM, encryption, auditing, and monitoring strategies
• Ensure compliance with governance and regulatory standards
• Establish data quality frameworks and operational monitoring
• Gather business requirements and define cloud migration roadmaps
• Estimate project efforts and prepare technical solution documents
• Manage project timelines, risks, dependencies, and stakeholder communications
• Present technical architecture and migration strategies to leadership and clients

Data Migration Architect – AWS, GCP

Backend Engineer

• Design and develop service based architectures and distributed systems.
• Work hands-on with .NET Core/.NET Framework, React/ Angular, SQL, AWS, and modern JavaScript frameworks.
• Apply Domain-Driven Design (DDD) principles.
• Champion AI driven SDLC process where Claude is used extensively to automate design, development, testing and CI/CD.
• Drive technical redirection projects, specifically high-volume Angular-to-React conversions.
• Establish and maintain rigorous coding standards and best practices across the team.

Senior .NET Core, ReactJS Engineer – AWS, Azure, Claude AI, Insurance

Software Engineer

• Develop, maintain, and optimize LookML models, explores, and dashboards in Looker.
• Work directly with business stakeholders and customers to gather requirements and translate them into analytics solutions.
• Lead requirement discussions and clarify ambiguous business needs.
• Design scalable data models and KPI-driven reporting solutions.
• Collaborate with Data Engineers, Analysts, and Cloud teams for end-to-end analytics delivery.
• Create structured documentation for business requirements, KPI definitions, and technical implementations.
• Ensure data quality, consistency, and performance optimization across dashboards and reports.
• Support customer-facing discussions, demos, and solution walkthroughs.
• Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives.

Looker Developer, LookML – GCP Cloud

SDET

• Architect and implement AI-powered automation solutions using Large Language Models (LLMs), AI Agents, and Agentic Workflows.
• Design autonomous and human-in-the-loop agent systems for planning, reasoning, and task execution.
• Build multi-agent architectures integrating enterprise applications, APIs, databases, SaaS platforms, and business processes.
• Implement Retrieval-Augmented Generation (RAG), Browser Agents, and MCP-based or Skill based integrations.
• Design scalable workflow orchestration solutions using platforms such as n8n, Zapier, and custom automation frameworks.
• Integrate AI agents into operational and business workflows with reusable automation patterns and best practices.
• Design scalable cloud-native and event-driven architectures for AI automation platforms.
• Establish standards for security, reliability, maintainability, and operational excellence.
• Collaborate across engineering and business teams to deliver enterprise-grade solutions.
• Implement end-to-end monitoring, tracing, logging, and auditability for AI agents and automation workflows.
• Drive performance optimization, cost management, incident analysis, and operational governance.
• Ensure compliance, security, and responsible AI practices.
• Build feedback loops and evaluation frameworks to improve agent performance and accuracy.
• Optimize prompts, workflows, and decision-making using telemetry, analytics, and user feedback.
• Drive continuous platform enhancement through measurement, experimentation, and automation.

AI Automation Architect – N8N, Zapier, OpenAI, Anthropic

• Architect and implement AI-powered automation solutions using Large Language Models (LLMs), AI Agents, and Agentic Workflows
• Design autonomous and human-in-the-loop agent systems for planning, reasoning, and task execution
• Build multi-agent architectures integrating enterprise applications, APIs, databases, SaaS platforms, and business processes
• Implement Retrieval-Augmented Generation (RAG), Browser Agents, and MCP-based or Skill based integrations
• Design scalable workflow orchestration solutions using platforms such as n8n, Zapier, and custom automation frameworks
• Integrate AI agents into operational and business workflows with reusable automation patterns and best practices
• Design scalable cloud-native and event-driven architectures for AI automation platforms
• Establish standards for security, reliability, maintainability, and operational excellence
• Implement end-to-end monitoring, tracing, logging, and auditability for AI agents and automation workflows

Product Manager

• Enable Data Across Products • Partner with Product Managers to define what success looks like for each product and feature — the metrics, instrumentation, and data requirements needed to measure outcomes.
• Ensure data considerations are included in discovery, design, and delivery stages for all product initiatives.
• Collaborate closely with engineering and analytics to align event tracking, schema design, and system integrations.
• Build frameworks and best practices that improve how product teams plan, track, and learn from data.
• Act as a bridge between business, analytics, and technology teams to ensure the right data is available for decision-making.
• Strengthen Data Governance • Establish consistent definitions and taxonomies for key product and business metrics.
• Partner with data engineering and analytics teams to improve data quality, completeness, and lineage
• Introduce standards for data documentation, ownership, and change management.
• Drive cross-functional adoption of shared data assets, dashboards, and tools.
• Promote a culture of data stewardship across teams.
• Drive Data-Driven Decision Making • Create visibility into how products perform through reliable reporting and metrics dashboards.
• Work with operations, customer success, finance, and product leadership to ensure business decisions are informed by accurate, consistent data.
• Lead post-launch reviews and experimentation analysis to quantify impact and guide iteration towards adoption and optimized results.
• Identify opportunities to automate insight generation or embed analytics into the product experience.
• Prepare for Future Data Products & AI • Collaborate with product and engineering leaders to identify opportunities where data can enhance the customer experience through benchmarks, insights, or predictive recommendations.
• Develop a long-term vision for data and AI readiness, including the infrastructure, quality, and processes required to support intelligent features.
• Partner with design and engineering to prototype and validate data-powered capabilities that create measurable value.

Senior Data Product Manager, HealthCare – RCM

Business Analyst

• Gather, analyze, and translate business requirements into functional and technical data solutions.
• Work closely with customers, business teams, product managers, and technical stakeholders to deliver analytics and reporting solutions.
• Analyze complex business processes within Healthcare, Insurance, and Revenue Cycle Management (RCM) environments and identify opportunities for process improvement and automation.
• Design and support Data Warehouse, ETL/ELT, and Business Intelligence initiatives.
• Build dashboards, reports, and visualizations using Tableau, Power BI, Cognos, and AWS QuickSight.
• Collaborate with Data Engineering teams on AWS, Snowflake, Redshift, S3, DBT, and modern cloud data platforms.
• Perform data analysis, profiling, validation, and reconciliation using SQL, Python, R, Spark SQL, Pandas, NumPy, and PL/SQL.
• Support data governance, data quality, compliance, and reporting requirements.
• Participate in client workshops, discovery sessions, requirement gathering, solution demonstrations, and executive reviews.
• Create business requirements documents (BRD), functional specifications, data mapping documents, KPI definitions, and reporting specifications.
• Drive insights and recommendations through advanced analytics and business intelligence solutions.
• Support Healthcare and Insurance reporting initiatives involving Claims, Member Data, Provider Data, Revenue Cycle Management, Billing, Coding, Collections, Denials, and Financial Tasks.

Lead Data Business Analyst – HealthCare, RCM

• Collaborate with business stakeholders, analysts, and project leads
• Translate business needs into technical specifications and data models
• Design and develop interactive Qlik Sense dashboards and reports
• Install, configure, and manage Qlik Sense Enterprise environments
• Write complex SQL queries and procedures to analyze large datasets

QlikSense Developer, Admin – NPrinting

• Design and drive scalable automation frameworks across backend systems, web platforms, APIs, and enterprise workflows.
• Focus on protocol-level automation, API validation, modern browser automation, distributed systems, and enterprise process automation.
• Architect and build scalable automation frameworks for APIs, backend services, web applications, and enterprise workflows.
• Design protocol-level automated testing using direct HTTP/API interactions.
• Develop robust UI automation frameworks using Playwright.
• Build and maintain automation solutions for business and operational workflows using RPA tools where applicable.
• Validate asynchronous workflows, distributed systems, and event-driven architectures.
• Implement schema, contract, and payload validation for REST/GraphQL APIs.
• Integrate automation suites into CI/CD and containerized environments.
• Build reusable automation utilities, reporting frameworks, and orchestration systems.
• Drive observability, failure analysis, and reliability validation strategies.
• Collaborate with engineering and business teams to improve release quality, operational efficiency, and automation coverage.

RPA Automation Architect – UiPath, Playwright

• Develop, maintain, and optimize LookML models, explores, and dashboards in Looker.
• Work directly with business stakeholders and customers to gather requirements and translate them into analytics solutions.
• Lead requirement discussions and clarify ambiguous business needs.
• Design scalable data models and KPI-driven reporting solutions.
• Collaborate with Data Engineers, Analysts, and Cloud teams for end-to-end analytics delivery.
• Create structured documentation for business requirements, KPI definitions, and technical implementations.
• Ensure data quality, consistency, and performance optimization across dashboards and reports.
• Support customer-facing discussions, demos, and solution walkthroughs.
• Work with cloud-based data platforms and modern data warehouse solutions.
• Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives.

Lead GCP Data Architect

Technical Product and Data Business Analyst, GCP Analytics

Senior .NetCore Engineer, ReactJS, AWS, Claude AI

Senior AI & Machine Learning Engineer – Lead – Architect – Head

Data Migration Architect – AWS, GCP

Senior .NET Core, ReactJS Engineer – AWS, Azure, Claude AI, Insurance

Looker Developer, LookML – GCP Cloud

AI Automation Architect – N8N, Zapier, OpenAI, Anthropic

AI Automation Architect – N8N, Zapier, OpenAI, Anthropic

Senior Data Product Manager, HealthCare – RCM

Lead Data Business Analyst – HealthCare, RCM

QlikSense Developer, Admin – NPrinting

RPA Automation Architect – UiPath, Playwright

Associate Looker, LookML Developer