Moving our legacy databases to an Azure SQL Managed Instance was a massive undertaking, but TechZavy executed it flawlessly. Their managed cloud services optimized our system architecture, boosting scalability and guaranteeing zero downtime.
SQL databases modernized for reliable operations
Reduce legacy database risk with SQL modernization informed by public-sector data migration experience.
Improve analytics readiness with cloud-aligned SQL architecture and Azure Databricks Lakehouse expertise.
Minimize disruption through scaled Agile DevOps, documentation pipelines, and rapid knowledge transfer.
Support high-availability operations with technology-agnostic designs and high-performance operational SLAs.
Align data strategy to business goals using AI-enabled ETL, validation, and practical automation use cases.
See how disciplined modernization improves reliability, reporting, and long-term data value.
Moving our legacy databases to an Azure SQL Managed Instance was a massive undertaking, but TechZavy executed it flawlessly. Their managed cloud services optimized our system architecture, boosting scalability and guaranteeing zero downtime.
Shan has led the development of our department’s online platform that captures energy efficiency program data reported by 100+ Minnesota electric and gas utilities. Shan and TechZavy team have an exceptional level of technical expertise and a keen ability to implement user-friendly designs. I highly recommend Shan to anyone who is looking to develop software product solutions.
TechZavy has been meeting all contract obligations, including application development, data mapping, and process improvements. They have been extremely flexible in working with our technical and business requirements, have adjusted schedules and accommodated our resource timelines very well. Has worked extremely well with us in clarifying and adjusting deliverables as defined in the contract and has shown adaptability with us for minor modifications. Overall TechZavy has helped us advance our project as we approach production launch in the coming months.
TechZavy engineered a high-performance, centralized platform that bridged our legacy applications and brought us fully into the Azure cloud. The real game-changer has been their innovative use of Azure Open AI and autonomous agents to automate the reconciliation of judicial comments and sentencing departures. By seamlessly integrating our data with MNCIS and the DOC, TechZavy eliminated decades of data silos and drastically reduced our team’s manual administrative overhead. They delivered a solution that perfectly supports our statutory mandate
TechZavy’s contributions to AI-driven enhancements—particularly the CRM chatbot for the MMCAP Members Portal—have meaningfully improved system functionality and user experience. Shan played a key role in modernizing the MMCAP analytics (ProductFile) processing by leading its migration from a legacy SSMS platform to an Azure-based solution using Data Factory, Databricks, and AI-supported optimizations. Also excelled in multiple roles as Project Manager, Azure Administrator, and AI Architect roles
TechZavy Consultant has been doing wonderful on the projects they have been working on. I’m very happy with the quality of work and productivity. My goals are being met.
SQL modernization starts with a clear view of your current environment. TechZavy evaluates schemas, stored procedures, integrations, data quality, reporting dependencies, hosting constraints, and operational risks. The output is a practical roadmap that identifies what to optimize, what to migrate, what to retire, and what must remain stable during change.
This assessment helps reduce duplicated effort, uncover hidden dependencies, and align database decisions with business goals before development or migration begins.
Performance issues in SQL environments often appear as slow applications, delayed reporting, and higher infrastructure costs. TechZavy reviews query behavior, indexing strategy, database design, execution plans, and workload patterns to identify improvements that directly affect user experience and operational reliability.
The goal is not isolated tuning. It is a healthier database foundation that supports high-performance operational SLAs, cleaner maintenance, faster insights, and better scalability as data volume grows.
Database migration requires careful planning, validation, and rollback awareness. TechZavy supports SQL migrations across on-premise, cloud, hybrid, and Lakehouse-aligned architectures, including modernization paths that connect SQL systems to Azure-hosted analytics environments and Azure Databricks Lakehouse patterns.
Structured ETL, data mapping, testing, documentation, and staged releases help reduce disruption while making legacy data more useful for reporting, automation, and future application modernization.
Reliable SQL reporting depends on trusted data pipelines. TechZavy designs ETL and integration workflows that move data between operational systems, analytics platforms, applications, and cloud services with validation built into the process. AI-enabled migration and automation can be applied where it creates practical value.
This improves data consistency, reduces manual reconciliation, and gives business teams stronger confidence in dashboards, operational reports, forecasting models, and compliance-driven reporting.
SQL databases are often part of regulated or mission-critical environments where access, auditability, backup coverage, and recovery planning matter. TechZavy helps strengthen database controls through role-based access planning, backup and recovery design, monitoring alignment, documentation, and environment readiness reviews.
The work supports continuity for government, healthcare, fintech, retail, and supply chain organizations that need dependable data access without increasing operational risk during modernization.
After modernization, SQL environments need continuous visibility and disciplined support. TechZavy applies managed delivery practices, DevOps documentation, proactive monitoring alignment, and rapid knowledge transfer to help teams maintain stability after deployment. This is especially valuable when internal staff must keep systems running while new platforms or analytics capabilities are introduced.
The result is a more supportable database environment with clearer ownership, faster issue resolution, and better readiness for future enhancements.
SQL databases often carry the operational weight of years of custom workflows, reporting dependencies, integrations, and undocumented business rules. TechZavy helps you modernize that foundation without treating it as a simple lift-and-shift project.
Database assessments, schema rationalization, performance tuning, ETL planning, migration support, and documentation are aligned to your business priorities. The approach is technology-agnostic, with cloud partnerships across Microsoft, AWS, Oracle, and Google Cloud supporting the right target architecture for your environment.
For teams managing public-sector, healthcare, financial, or supply chain data, the focus stays practical: continuity, secure access, cleaner reporting, stronger scalability, and a database roadmap that supports long-term modernization.
TechZavy approaches SQL Database work through the lens of reliability, migration readiness, and decision support. Your data environment is evaluated for both technical health and business value, so modernization produces measurable operational benefits.
The result is a cleaner, more resilient SQL environment that helps teams reduce duplicated effort, improve analytics confidence, and keep critical applications running while transformation moves forward.
Strong SQL Database delivery depends on more than technical configuration. It requires a team that can understand legacy systems, document dependencies, coordinate releases, validate data, and adapt quickly when business requirements change.
TechZavy brings experience from enterprise data modernization, managed hosting, and AI-driven analytics projects, including public-sector systems where uptime, traceability, and usability matter. Scaled Agile DevOps practices create transparency across design, testing, deployment, and post-migration support.
Whether you need SQL Server optimization, cloud migration, integration support, or modernization into an Azure Databricks Lakehouse pattern, the objective is the same: stable data operations, predictable delivery, and a stronger foundation for future applications and analytics.
Gain a clearer path to secure, scalable database modernization.
You receive a comprehensive modernization package covering legacy SQL assessment, schema optimization, performance tuning, and migration planning. The service also includes ETL design, AI-enabled migration support, documentation pipelines, and high-availability architecture across Microsoft, AWS, Oracle, and Google Cloud. Your database environment is aligned with business priorities to ensure continuity, scalability, and secure access throughout the process.
Modernizing your SQL database delivers measurable gains in reliability, analytics readiness, and operational resilience. You benefit from:
The migration and upgrade process follows a documented, technology-agnostic approach that prioritizes business continuity. Initial steps include thorough assessment and schema rationalization, followed by DevOps-driven ETL planning, AI-enabled validation, and phased migration to your chosen platform. Knowledge transfer and immediate backup coverage are built in to minimize disruption and maintain operational control.
Project timelines depend on database size, integration complexity, and required architecture changes, with most modernizations ranging from a few weeks to several months. Cost factors include:
Predictable cost models are used so you can plan with confidence and avoid unexpected overages.
This SQL database service stands out through proven public-sector modernization, rapid mobilization, and strategic partnerships with Microsoft, AWS, Oracle, and Google Cloud. You gain access to technology-agnostic designs, AI-driven migration, and a scaled Agile DevOps approach for transparency and rapid adaptation. The focus remains on aligning IT with your business goals, ensuring continuity, and delivering documented, high-impact outcomes for complex environments.