nesIT Services is a women-owned data practice specializing in data migration, modernization, and governance. We deliver quiet, reliable projects your strategy can count on.
Core specializations
Most data programs fail at the seams; between systems, teams, and standards. We are obsessive about the seams.
End-to-end migration programs, from legacy databases and on-premise estates to modern cloud platforms, executed with zero data loss, validated lineage, and minimal downtime.
Re-platforming and re-architecting data estates onto Azure, Microsoft Fabric, and modern lakehouse patterns; unlocking analytics, AI readiness, and operational efficiency.
Frameworks that make trust measurable; policy, stewardship, lineage, quality, and compliance built into the way your organization operates with data every day.
Supporting practices
How we work
In an industry that often defaults to young male engineers, nesIT offers a different edge: deeply technical women who have spent decades inside enterprise data estates. The person scoping your project is the same one writing the SQL, validating the migration, and standing behind the result, no junior bench, no handoffs.
We listen first. Workshops with your stakeholders map the data estate, business outcomes, and risks worth solving for.
Pragmatic architecture and a sequenced roadmap; modern where it matters, surgical where legacy is good enough.
Senior engineers execute alongside your teams. We migrate, modernize, and govern with measurable, validated outcomes.
Governance, observability, and enablement so the platform continues to compound value long after we step away.
About nesIT
nesIT Services was founded on a simple conviction: data work should be done by the people who will be accountable for it. We are a women-owned practice of Microsoft-certified architects, engineers, and governance specialists who have spent careers inside enterprise data estates.
Our founder is known for exceptional efficiency at scale and a sharp eye for data patterns, the partner Primes turn to when timelines are tight and the data is anything but clean. That same standard runs through every engagement: credentials across Azure Data, Microsoft Fabric, SQL Server, and the broader Microsoft data platform, applied to migrations, modernization programs, and governance frameworks for organizations that cannot afford to get their data wrong.
Let's talk
Whether you're planning a migration, modernizing onto Azure or Fabric, or standing up governance from scratch, we'd be glad to take the first conversation.
