Initiate Government Solutions, LLC.

Backend Engineer

• Design scalable, secure, and highly available cloud database solutions
• Perform relational data modeling and schema design for large-scale migration initiatives
• Evaluate and implement database technologies, including distributed SQL databases in hybrid cloud environments
• Execute structured data migration pipelines across dev-test, pre-production, and production environments
• Migrate on-premises relational databases to cloud-based platforms while ensuring data integrity, minimal downtime, and performance parity
• Manage data staging through cloud object storage and coordinate pipeline progression across environments
• Monitor database performance using cloud-native and third-party tools
• Identify and resolve bottlenecks in high-volume environments
• Implement indexing, partitioning, and query optimization strategies to meet performance SLAs
• Implement access controls, encryption, and auditing while maintaining compliance with data protection regulations such as HIPAA and HL7
• Review and update security policies
• Validate migrated data for accuracy, completeness, and structural integrity
• Develop and execute test data strategies, including synthetic data generation
• Develop and maintain ETL notebooks and workflows for initial and incremental data loads
• Automate data transformation, format conversion, and pipeline orchestration
• Develop scripts for synthetic data generation, routine maintenance, and monitoring
• Build and maintain data pipelines using Databricks notebooks and Apache Spark
• Manage data flow from source systems through cloud object storage staging into target database environments
• Load synthetic data into containerized local database instances for pipeline validation
• Monitor and optimize database resource usage and recommend right-sizing and cost-saving measures
• Collaborate with product managers, engineers, security specialists, and business analysts to deliver API products aligned with federal standards and objectives
• Support the mission of improving veteran experiences through digital innovation, compliance, and API development best practices

Database Engineer

Data Analyst

• Support the Digital Accessibility Program using data analytics, artificial intelligence, machine learning, and process improvement methodologies
• Collect, analyze, and interpret data from accessibility testing, web crawler results, helpdesk operations, service requests, user feedback, and program performance metrics
• Develop and maintain interactive dashboards, KPI reports, and executive-level analytics
• Identify key metrics for measuring digital accessibility program performance and recommend strategies for addressing data gaps
• Design and implement AI and machine learning models to identify patterns, predict service demand, and forecast accessibility trends
• Develop predictive analytics models to identify recurring accessibility barriers, testing deficiencies, and operational risks
• Apply natural language processing to customer feedback, tickets, and service requests to categorize issues and recommend corrective actions
• Perform trend analysis and statistical modeling for strategic planning and continuous improvement
• Collaborate with Program Managers, Accessibility Specialists, and Government stakeholders to translate business requirements into analytical solutions
• Develop data governance processes, analytics methodologies, and reporting frameworks
• Conduct process assessments and recommend efficiency improvements using industry-standard frameworks
• Produce Data Analytics Plans, Process Improvement Plans, monthly reports, dashboards, and executive briefings
• Attend onsite client meetings if requested

Database Engineer

Data Analyst, AI/ML