Senior DBE & Integration Expert

Database Engineering & Data Architecture

• Design, develop, optimize, and maintain SQL-based data structures, stored procedures, views, functions, staging tables, and reporting-ready data layers.
• Support SQL Server, Azure SQL, and Snowflake-style data environments used for transactional, analytical, and reporting workflows.
• Improve database performance through indexing, query optimization, partitioning, archival strategies, and execution plan review.
• Implement reliable backup, retention, and recovery practices for critical data repositories and integration databases.

ETL / ELT Pipeline Development

• Build and maintain ETL/ELT pipelines that ingest data from PMS, EHR, payer, vendor, and internal operational systems.
• Develop transformation logic for charges, payments, adjustments, denials, AR, encounters, CPT/ICD/HCPCS, provider, department, and practice-level data elements.
• Create reusable data pipeline patterns for new practice onboarding and recurring data refreshes.
• Implement error handling, retry logic, logging, alerting, and reconciliation checkpoints across integration workflows.

System Integration Ownership

• Lead end-to-end integration design for source-system connectivity, mapping, validation, and downstream consumption.
• Work with REST APIs, flat-file transfers, database extracts, scheduled jobs, automation outputs, and vendor data feeds.
• Translate business requirements into data contracts, mapping documents, technical specifications, and implementation plans.
• Partner with application and automation teams to ensure data from integrations is usable by internal tools and workflows.

Data Quality, Validation & Reconciliation

• Perform root cause analysis for missing records, duplicate records, incorrect counts, refresh timing issues, source-to-target mismatches, and dashboard discrepancies.
• Create validation queries and exception reports to compare source-system data against Snowflake/SQL/reporting layers.
• Define key matching logic using identifiers such as account number, encounter ID, claim ID, CPT, posting date, service date, provider, payer, and practice identifiers.
• Document known limitations, assumptions, dependencies, and remediation steps for recurring data issues.

Analytics, Dashboard & AI Data Enablement

• Prepare reliable data models and datasets for Tableau, internal Insights platforms, operational dashboards, and AI/ML use cases.
• Support reporting datasets for AR, KPI, denial, eligibility, charge/payment/adjustment, and practice-level operational reporting.
• Collaborate with visualization teams to align dashboard definitions, refresh timing, filters, drill-down tables, and reconciliation logic.
• Support curated datasets for AI-assisted workflows while following data governance, privacy, and compliance requirements.

Production Monitoring & Incident Response

• Monitor integration health, scheduled jobs, data loads, storage consumption, performance bottlenecks, and job failures.
• Respond to production incidents with clear triage, impact analysis, stakeholder updates, corrective action, and permanent fix recommendations.
• Implement proactive notifications for completed, failed, delayed, or partially loaded pipeline runs.
• Maintain operational runbooks and handover documentation for critical systems and recurring production activities.

Practice Onboarding & Cross-Functional Collaboration

• Participate in knowledge transfer sessions for new practices and source-system integrations.
• Assess feasibility, identify data availability gaps, and define technical prerequisites before implementation begins.
• Coordinate with operations, product owners, developers, automation engineers, dashboard developers, vendors, and business stakeholders.
• Provide clear, timely updates on integration status, risks, blockers, and data quality issues.