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.
Modernize data platforms with predictable control.
Reduce legacy data risk with assessed migration planning shaped by public-sector modernization experience.
Improve database uptime with managed cloud operations supported by Microsoft, AWS, Oracle, and Google Cloud.
Control project disruption through scaled Agile DevOps, documentation, and rapid knowledge transfer.
Convert fragmented records into analytics-ready data using proven lakehouse and modernization practices.
Stabilize growing environments with predictable cost models for user and data scalability.
See how structured modernization, DevOps documentation, and managed operations reduce risk.
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’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 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 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.
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.
Before a database is migrated, optimized, or connected to analytics, TechZavy maps the current environment. Deliverables can include application inventory review, schema and dependency assessment, integration mapping, data quality findings, and modernization priorities.
This reduces guesswork, uncovers duplicated or fragile records, and gives stakeholders a realistic execution path tied to operational impact.
TechZavy manages cloud and hybrid database environments with attention to availability, cost, observability, and deployment discipline. The team supports secure, performance-optimized cloud infrastructure across technology-agnostic architectures, backed by Microsoft AI Cloud Partner, AWS Solutions Provider, Oracle Cloud Partner, and Google Cloud Partner status.
You gain a platform strategy that fits the workload instead of a forced migration path.
Trusted data requires clear ownership, consistent definitions, and usable controls. TechZavy helps standardize master data, reporting structures, retention considerations, access patterns, and quality checks so database systems support decisions rather than create conflicting answers.
The result is cleaner operational reporting, stronger analytics readiness, and better confidence in dashboards, AI pilots, and business intelligence outputs.
Slow queries, storage sprawl, and unmanaged database growth affect users, applications, and budgets. TechZavy reviews workload patterns, indexing, query behavior, resource consumption, and monitoring gaps to identify practical improvements.
Optimization work is tied to measurable outcomes such as faster response times, fewer production bottlenecks, improved cloud utilization, and more predictable operating costs.
Database migration succeeds when planning, testing, cutover, and rollback procedures are handled as production work. TechZavy uses staged execution, scaled Agile DevOps, and standardized DevOps documentation to reduce disruption and support rapid knowledge transfer.
Whether modernizing SQL workloads or moving data into a cloud platform, the process is structured to protect continuity and keep stakeholders informed.
Database management should make information easier to use. TechZavy helps convert data into actionable business intelligence by preparing records for dashboards, lakehouse platforms, AI pilots, and reporting use cases.
Experience with enterprise data modernization, including SQL modernization into Azure Databricks Lakehouse, supports a practical path from fragmented records to analytics-ready data products.
Database management is not just storage administration. It is the operating layer that keeps applications responsive, reporting accurate, and modernization efforts on track.
TechZavy approaches each environment through application inventory, master data, and business domain review before recommending migration, optimization, or AI-assisted use cases. That assessment-first model helps you reduce duplication, improve governance, and prioritize work that produces measurable operational value.
With managed and professional IT delivery across government, healthcare, fintech, retail, environment, and supply chain organizations, TechZavy supports databases as production systems that must be secure, observable, scalable, and ready for continuous improvement.
Complex database environments need practical controls, not one-time fixes. TechZavy helps you manage reliability, cost, and usability across legacy, hybrid, and cloud platforms.
Partnerships with Microsoft, AWS, Oracle, and Google Cloud support technology-agnostic architectures that match your environment instead of forcing a single platform path.
Reliable data platforms make AI, automation, dashboards, and compliance reporting easier to sustain. TechZavy connects database management with DevOps discipline, governance, and practical analytics enablement.
That means database work is documented, monitored, and aligned to business or mission outcomes. Teams gain cleaner data pipelines, faster issue isolation, more predictable deployments, and better continuity when personnel change.
TechZavy has supported enterprise data modernization and managed hosting for public-sector programs, including projects involving legacy data, wetland credit platforms, SQL modernization, and cloud data platforms. The focus stays on production value: stable systems, usable data, and modernization steps that can be measured.
Gain clarity on database risk, cost, performance, and modernization priorities.
You gain end-to-end support for database environments, covering assessment, modernization, cloud migration, operational monitoring, and ongoing optimization. Services include:
You reduce legacy data risk, boost database uptime, and stabilize operations with predictable costs. These services allow you to:
Your environment is assessed first, including application inventory, master data, and business domain review. Migration is planned in stages to minimize disruption, with pilots or proofs of concept before moving to early production systems. Continuous monitoring, clear documentation, and immediate backup coverage ensure operational continuity throughout the process.
Engagement timelines vary based on your database size, project scope, and complexity of integrations. Smaller modernization projects may complete in weeks, while multi-platform migrations and large-scale analytics readiness can span several months. Costs are predictable, using fixed-cost models shaped by your specific needs, user base, and required service levels.
You benefit from technology-agnostic architectures backed by Microsoft, AWS, Oracle, and Google Cloud partnerships. The delivery approach emphasizes rapid mobilization, standardized DevOps documentation, and immediate personnel backup for continuity. A proven record with public-sector agencies and enterprise data modernizations ensures your project receives experienced, production-focused support that delivers measurable business results.