Trility Consulting

Business Intelligence Developer

• Build and maintain Microsoft Fabric data pipelines supporting REST APIs, SQL Server sources, and file-based ingestion processes
• Develop and orchestrate Spark notebooks within Microsoft Fabric
• Implement Bronze, Silver, and Gold lakehouse patterns within OneLake environments
• Build, test, and optimize ETL/ELT processes for performance, scalability, and maintainability
• Design and develop reusable semantic models that support consistent enterprise reporting across multiple business domains
• Migrate existing Tableau reports and dashboards into Microsoft Power BI while validating business logic and report accuracy
• Develop and optimize DAX measures, calculations, and business logic to support executive and operational reporting
• Optimize Power BI report performance, usability, and maintainability using Microsoft Fabric best practices
• Participate in Azure DevOps CI/CD processes
• Partner with business stakeholders to validate reporting requirements and ensure successful report modernization
• Collaborate closely with client engineers through paired development and knowledge-sharing activities

Senior Azure Data Consultant – Microsoft Fabric, Power BI

Consultant

• Analyze, interpret, and reverse-engineer existing Oracle Data Integrator (ODI) workflows and data transformation logic
• Document and understand current data flows, dependencies, and legacy data structures
• Design Snowflake-optimized data models and ELT patterns that improve performance and scalability
• Write performance-aware SQL and implement ELT transformations within Snowflake
• Restructure inefficient or “stair-step” legacy models into normalized, maintainable, and scalable architectures
• Cleanse legacy artifacts, including redundant columns, null-handling inconsistencies, and outdated dependencies
• Design conformed and curated data objects to support analytics and reporting needs
• Build modular, testable transformation pipelines using DBT or approved transformation tools
• Manage Snowflake development environments, including roles, access control, and governance for development work
• Establish data validation and reconciliation patterns to compare Oracle vs. Snowflake results
• Implement data quality checks to ensure accuracy and consistency during migration
• Collaborate closely with QA and review teams to validate transformation logic and performance outcomes

Data Consultant – Snowflake

DevOps Engineer

• Lead a short-term engagement focused on establishing secure secrets management patterns
• Strengthen application security practices
• Create repeatable DevSecOps standards across a modern Azure-based environment
• Serve as a trusted advisor and hands-on technical leader
• Partner with engineering and architecture teams to assess current-state practices and identify security gaps
• Design future-state patterns and implement foundational security controls
• Improve SDLC controls and create reusable guidance that can be adopted across multiple teams and applications

Senior DevSecOps Consultant – Azure, Secrets Management

Technical Recruiter

• Help accelerate the growth of the organization as a brand ambassador
• Identify excellent teammates to join the company
• Collaborate across the evolving organization
• Quickly learn Trility's service offerings and technical hiring profiles
• Build credibility with candidates through informed technical conversations
• Independently manage multiple technical requisitions simultaneously
• Consistently present qualified candidates who meet both technical and cultural requirements
• Maintain exceptional candidate experience and communication throughout the hiring process
• Partner closely with leadership to influence hiring strategy and talent market positioning

Senior Technical Recruiter

• Collaborate with clients to test Fabric’s performance compared to on-premise systems and build robust data solutions
• Build and maintain Microsoft Fabric data pipelines supporting REST APIs, SQL Server sources, and file-based ingestion processes
• Develop and orchestrate Spark notebooks within Microsoft Fabric
• Implement Bronze, Silver, and Gold lakehouse patterns within OneLake environments
• Develop ingestion processes that accommodate schema drift and evolving source systems
• Build, test, and optimize ETL/ELT processes for performance, scalability, and maintainability
• Support the implementation of Direct Lake semantic model solutions and downstream analytics requirements
• Participate in Azure DevOps CI/CD processes, including Dev/Test/Prod promotion workflows
• Support metadata, lineage, and governance integrations within the broader data platform
• Collaborate closely with client engineers through paired development and knowledge-sharing activities
• Apply data engineering best practices related to testing, monitoring, documentation, and operational support

Senior Azure Data Consultant

• Analyze, interpret, and reverse-engineer existing Oracle Data Integrator (ODI) workflows and data transformation logic
• Document and understand current data flows, dependencies, and legacy data structures
• Design Snowflake-optimized data models and ELT patterns that improve performance and scalability
• Write performance-aware SQL and implement ELT transformations within Snowflake
• Restructure inefficient or “stair-step” legacy models into normalized, maintainable, and scalable architectures
• Cleanse legacy artifacts, including redundant columns, null-handling inconsistencies, and outdated dependencies
• Design conformed and curated data objects to support analytics and reporting needs
• Build modular, testable transformation pipelines using DBT or approved transformation tools
• Manage Snowflake development environments, including roles, access control, and governance for development work
• Establish data validation and reconciliation patterns to compare Oracle vs. Snowflake resultsImplement data quality checks to ensure accuracy and consistency during migration
• Collaborate closely with QA and review teams to validate transformation logic and performance outcomes

Snowflake Data Consultant

• Support the hardening and operational security of a modern Kubernetes-based platform environment aligned to CMMC and Zero Trust principles
• Serve as a hands-on extension of the Client’s Engineering team
• Focus on implementing and operationalizing key AWS security controls
• Secure critical platform services
• Improve the overall compliance and stability posture of the environment
• Collaborate with platform engineering teams to improve operational stability, compliance posture, and long-term maintainability
• Develop and maintain Helm charts, Kubernetes manifests, and automation routines supporting platform operations
• Partner with Architecture Review Boards (ARB), security stakeholders, and engineering leadership to validate implementation approaches and compliance requirements
• Produce clear technical documentation, configuration standards, and operational runbooks
• Contribute to operational automation, migration tooling, and platform sustainability initiatives

Senior DevSecOps Consultant – ArgoCD, Kubernetes, AWS

Backend Engineer

• Design and develop modern full-stack application features using React, TypeScript, Python, and FastAPI
• Build intuitive, high-quality user experiences that streamline complex workflows for business users
• Develop backend APIs and services that integrate with internal enterprise systems and downstream workflows
• Help modernize and simplify legacy operational processes through thoughtful application design and automation
• Build and optimize PostgreSQL database interactions within AWS RDS environments
• Deploy and manage cloud-native applications within AWS infrastructure using Infrastructure as Code practices with CloudFormation
• Collaborate closely with client stakeholders, product owners, and fellow developers to rapidly iterate on requirements and solutions
• Support document generation workflows and downstream policy system integrations
• Leverage modern AI-assisted development tooling, including ClaudeCode, to accelerate development and improve delivery efficiency
• Contribute to code quality, maintainability, testing, and deployment best practices throughout the engagement