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Leads quality engineering for Amazon Connect IVR and contact center applications. Designs test strategies, builds Cyara and Node.js automation frameworks, validates contact flows, APIs, Lambda integrations, Lex bots, and CRM systems, and executes testing across development and production environments. Analyzes defects, manages test data, integrates automated tests into CI/CD pipelines, reports quality metrics, and collaborates with cross-functional Agile teams to improve release quality.

Develop and support Amazon Connect IVR solutions, including contact flows, queues, routing profiles, Lex integrations, Lambda functions, APIs, and DynamoDB workflows. Build resilient failure handling, secure configuration and secrets management, and standardized CI/CD deployments. Validate degraded-mode scenarios, maintain deployment runbooks, troubleshoot defects, and collaborate with QA and stakeholders to deliver reliable releases.

Leads business analysis and project management for QSR and retail process optimization. Partners with stakeholders and technology teams to define objectives, document requirements, manage backlogs, establish acceptance criteria, map data and KPIs, and coordinate user acceptance testing. Oversees requirements traceability, reporting solutions, master data management, data quality controls, and delivery alignment across project teams.

Leads quality engineering and performance testing for data pipelines, Microsoft Fabric workloads, Power BI reports, and MDM solutions. Develops test strategies, validates data accuracy and transformations, automates regression testing with SQL and Python, tests reports and semantic models, tracks defects, supports UAT, coordinates triage, and reports quality metrics.

Leads end-to-end modernization from IBM DataStage to Microsoft Fabric, coordinating architecture, engineering, migration, testing, deployment, and business stakeholders. Owns planning, governance, milestones, risks, dependencies, reporting, customer communication, release planning, cutover readiness, operational handover, and post-production stabilization. Ensures technical blockers are resolved, delivery quality meets agreed scope and timelines, and cross-functional teams remain aligned throughout the program.

Designs, builds, and scales customer-facing full-stack applications using React, TypeScript, Java, Go, Python, and Node.js. Develops APIs, microservices, distributed systems, and database integrations; contributes to AWS infrastructure, Docker, Terraform, CI/CD, testing, observability, and security. Troubleshoots production issues, improves reliability and performance, participates in architecture and code reviews, mentors engineers, and collaborates with product, architecture, and design teams.

Supports AWS-based manufacturing data ingestion into enterprise data lakes and analytics platforms. Maintains ingestion frameworks, mappings, metadata, pipelines, and integrations with SharePoint, OneDrive, SFTP, LIMS, and manufacturing systems. Performs data validation, quality checks, troubleshooting, and pipeline optimization. Assists with document processing automation, data extraction, technical documentation, SOPs, and knowledge transfer. Requires Python, SQL, Databricks, AWS services, ETL development, and cloud data integration experience.

Leads US HR Business Partnering and HR Operations teams, advising senior leaders and supporting the Digital Engineering practice. Oversees talent management, workforce planning, organizational development, employee relations, benefits, immigration and mobility, compliance, and employee lifecycle processes. Drives HR governance, operational efficiency, employee experience, and people initiatives while developing HR professionals and supporting organizational growth and transformation.

Analyzes and documents enterprise business processes, designs cloud-enabled solutions, and automates workflows using PowerShell. Collaborates with business and technology teams to deliver process improvements, transformation roadmaps, and measurable efficiency and cost gains. Identifies AI, analytics, and automation opportunities; develops process maps and business cases; supports cloud application integration; and tracks transformation KPIs. Requires cloud platform consulting experience, process optimization expertise, and hands-on workflow automation skills.

Design and lead scalable Snowflake data architectures, models, ETL/ELT pipelines, integrations, and governance strategies. Optimize query performance, resource utilization, and cloud data warehouse costs. Implement Snowpipe, Streams, Tasks, and Dynamic Tables for batch and real-time processing. Ensure security and compliance across cloud environments, translate business requirements into data solutions, and establish engineering standards while providing technical leadership to data engineering teams.