Hire the Best SQL Azure Specialists in North Carolina

In most Power Platform environments, the real issues are not visible in the UI. They show up in data behavior. Records overwrite each other. Flows trigger more than once. Reports start showing numbers that no one fully trusts. That is where I usually step in. I have rebuilt Dataverse schemas that were mixing operational and reporting data, corrected Power Automate flows that were creating duplicate updates under retry conditions, and introduced C# APIs in Azure to control SQL writes and enforce validation outside the app layer. When building new systems, I define those boundaries early. Dataverse handles structure and lifecycle. Canvas apps stay readable and predictable. Power Automate manages orchestration, not business rules. Azure services handle transactions and integration points that require stronger guarantees. I work across Power Apps, Power Automate, Power BI, and Azure because operational systems rarely break in just one place. The objective is simple: make the environment stable, understandable, and safe to change. That is the work I focus on.

I am a Data Engineer specializing in Azure cloud-native data architectures, distributed ETL/ELT pipelines, and enterprise‑grade data integration. My work focuses on building scalable, fault‑tolerant, and cost‑optimized data solutions using the Azure ecosystem. I design and implement end‑to‑end pipelines using Azure Data Factory (ADF), Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure SQL, Databricks, and serverless compute. My experience includes orchestrating complex workflows, optimizing ingestion patterns, and modernizing legacy ETL systems into cloud‑native frameworks. Technical Capabilities Azure Data Factory (ADF): Linked services, datasets, pipelines, triggers, parameterization, dynamic content, CI/CD integration Azure Data Lake (ADLS): Hierarchical namespace design, partitioning strategies, security (RBAC, ACLs), lifecycle policies ETL/ELT Engineering: Incremental loads, SCD handling, CDC, data quality checks, orchestration, error handling frameworks Azure Synapse / SQL: Stored procedures, performance tuning, indexing strategies, distributed query optimization Databricks / Python: Notebook‑based transformations, PySpark ETL, Delta Lake, schema evolution Migration Work: On‑prem SQL Server → Azure SQL / Synapse, SSIS package modernization, pipeline re‑architecture Automation: PowerShell, Python, API‑based integrations, DevOps pipelines Engineering Approach Build modular, reusable, parameter‑driven pipelines Enforce data quality, lineage, and observability Optimize for performance, cost, and maintainability Deliver production‑ready solutions with logging, alerts, and documentation If you need a cloud‑focused Data Engineer who can architect, build, optimize, or troubleshoot Azure‑based data systems, I can deliver solutions that are robust, scalable, and aligned with best practices.

Hi, I’m Kevin. I help healthcare organizations and businesses fix their toughest IT issues — whether it's a SQL Server running slow, an Azure migration that needs cleanup, or automating repetitive tasks with PowerShell scripts. I've been doing this for over 25 years, 15 in healthcare, and still love diving into tricky problems and getting systems humming again. I can also work with the many uses of Python scripting to do just about anything. ETL as well.

Hi, I'm Michael, a US-based SQL Server DBA with 10+ years running large, complex 24/7 production databases and 20+ years in software development. I offer on-demand and emergency DBA support, performance tuning, database CI/CD, and AI tooling for databases (MCP servers, agentic and self-service tools). Availability Same-day start in most cases; 2–6 hours per day when scheduled Emergencies: 15-minute response Open to remote full-time, part-time, after-hours, off-time-zone, or 24/7 support engagements What I do SQL Server 2005–2025 administration: planning, configuration, troubleshooting, proactive performance tuning, access management, documentation High availability and disaster recovery: Always On, WSFC clustering, log shipping, mirroring, replication Platforms: on-prem, AWS RDS for SQL Server, Azure SQL Database, Azure SQL Managed Instance Database Reliability Engineering and CI/CD pipelines for databases using Azure DevOps, GitLab, and GitHub AWS RDS/Aurora PostgreSQL and MySQL (3+ years) AI tools integrated into daily DBA workflows (2+ years): Claude, MCP, Skills, Pydantic AI T-SQL: stored procedures, triggers, functions, ad-hoc queries SSIS package design and maintenance; SSRS report design and deployment Terraform/Terragrunt Experience with distributed, multinational teams Certifications (all current) Microsoft Certified: DevOps Engineer Expert (AZ-400) Microsoft Certified: Azure Administrator Associate Microsoft Certified: Azure Database Administrator Associate MCSA/MCSE: SQL Server 2012, 2014, 2016 AWS Certified Solutions Architect – Associate AWS Certified Database – Specialty HashiCorp Certified: Terraform Associate Note: Credly lists my Microsoft certifications as expired because Credly ended its Microsoft partnership; they are active, and I can provide a Microsoft transcript on request. I'd like to hear more about your project and how I can help. Regards, Michael