Hire database integration engineers from Vidi Corp to design, build, and maintain secure, scalable data integration architectures across your ERP, CRM, finance, marketing, operations, and third-party systems.
All of our database integration engineers are rigorously vetted for expertise in ETL processes, API development, and leading integration platforms. They hold top-tier certifications from vendors like Microsoft (Azure Data Engineer).
We can support you with flexible hourly engagements, fixed-price integration projects, and dedicated full-time engineering services. Select the work model that best suits your infrastructure and accelerate your data unification today!
1000+
Completed
projects
600+
Happy
clients
20k+
Hours
worked
We offer a comprehensive suite of database integration services to connect your applications, warehouses, and legacy systems. Our integration engineers work closely with your architects and stakeholders to ensure every data pipeline is scalable, secure, and aligned with your business goals.
Here’s what our database integration engineers can do for you:
Custom API development
We design, build, and manage custom RESTful and GraphQL APIs to facilitate seamless, real-time communication between your databases, SaaS applications, and internal tools. Our engineers focus on creating secure, well-documented, and easily maintainable API endpoints.
Cloud Data Migration
Whether you are migrating from on-premise SQL Server to Azure SQL, or consolidating multiple databases into a single cloud warehouse, we manage the entire process. Our engineers ensure data integrity, minimize downtime, and optimize your new cloud environment for performance and cost.
ETL and Data Pipeline Architecture
Stop struggling with manual data consolidation. Our experts build robust ETL (Extract, Transform, Load) and ELT pipelines using tools like dbt, and Azure Data Factory. We automate the flow of data from transactional databases (like PostgreSQL, MySQL) to cloud data warehouses (like Snowflake, BigQuery, Redshift) for analytics.
Data Warehouse Integration
We integrate multiple data sources using our data connectors into scalable cloud data warehouses (Azure, BigQuery, AWS) optimized for business intelligence and analytics.
This ensures a single source of truth across finance, operations, marketing, and leadership reporting.
Database Optimization
Our Database Optimization services ensure your databases run at peak performance, supporting fast queries, real-time reporting, and scalable growth.
We analyze your existing database architecture, indexing strategy, query structure, and data models to identify performance issues and inefficiencies. Our engineers optimize schemas, refine indexing, improve query efficiency, and restructure data flows to reduce latency and enhance system responsiveness. We also implement performance monitoring and capacity planning strategies to prevent future slowdowns.
Business Intelligence Integration
Our database engineers integrate databases, ERP systems, CRMs, financial platforms, and operational tools into optimized data models designed specifically for Power BI, Tableau, Looker, and other BI platforms. Our engineers structure data warehouses, implement automated refresh pipelines, and apply performance tuning to ensure dashboards load quickly and display accurate, standardized KPIs.
Data Governance Services
Our data engineers ensure your integrated database environment remains secure, compliant, and consistently reliable across all connected systems.
We establish clear data ownership structures, standardized KPI definitions, access control policies, and validation frameworks to maintain data integrity across ERP, CRM, financial, and operational platforms. Our team implements role-based permissions, audit trails, data quality monitoring, and compliance safeguards to protect sensitive information and prevent inconsistencies between systems.
Vidi-Corp Ltd migrated legacy BI systems to Power BI and implemented real-time data pipelines, delivering live operational visibility, faster decision-making, and on-time project execution with seamless change management.
Robert Ufford, Senior Global VP of Business Development, ContinuumLink LLC
They helped us integrate QuickBooks Online with SQL databases to automate financial consolidation and reporting, reducing month-end close time, improving accuracy, and enabling reliable automated data refreshes.
Kevin Smith, CFO, Advanced Spirits, LLC
Vidi corp developed scalable API endpoints and automated workflows that reduced connector cycle times, eliminated data duplication, and improved overall operational efficiency for us.
Can A., Executive
When you hire a database integration engineer from us, you’re not just getting someone to write scripts. You are acquiring a certified data engineering professional with proven expertise in solution architecture, data modeling, and performance optimization.
Data Modeling & Schema Design
We excel at designing both normalized and denormalized data models optimized for transactional and analytical workloads. Our engineers understand how to structure data for efficient storage, querying, and integration across diverse systems, ensuring consistency and eliminating redundancy.
Mastery of SQL & Modern Databases
Our data engineers bring deep, hands-on expertise across the full spectrum of database technologies. They are masters of complex SQL for query optimization, write advanced stored procedures, and manage both relational (PostgreSQL, MySQL, SQL Server) and NoSQL (MongoDB, Cassandra) databases to support a wide variety of integration patterns.
ETL/ELT Pipeline Development
We build robust, monitored, and fault-tolerant data pipelines. Our experts are proficient in using modern orchestration tools and transformation frameworks (like dbt) to move and reshape data, ensuring it is clean, reliable, and ready for consumption by applications and analytics teams.
API Integration & Development
Our data integration engineers are well-versed in both consuming and building APIs. They understand RESTful principles, authentication methods (OAuth 2.0, API Keys), and data formats (JSON, XML), allowing them to seamlessly connect cloud-based SaaS applications and expose database functionality through secure, custom-built APIs.
Collaboration and Communication
Beyond technical expertise, strong communication is key to successful integration projects. Our engineers collaborate effectively with your internal teams from software developers to business analysts to ensure they accurately capture requirements, document data flows, and deliver solutions that truly meet business needs.
 Advanced |  Senior | |
| Hourly Rate (Flexible) | $75 | $100 |
| Hourly Rate (Full-time) | $50 | $70 |
| Experience | 3–5 years | 5+ years |
| Key Benefits | Efficiency & expertise, Quality within budget | Senior architect skills for complex integrations, Strategic guidance within budget |
Advanced |
| Hourly Rate (Flexible) $75 |
| Hourly Rate (Full-time) $50 |
| Experience 3–5 years |
| Key Benefits Efficiency & expertise Quality within budget |
Senior |
| Hourly Rate (Flexible) $100 |
| Hourly Rate (Full time) $70 |
| Experience 5+ years |
| Key Benefits Senior architect skills for complex integrations, Strategic guidance within budget |
When you hire our database integration engineering team, you’re partnering with a proven provider that prioritizes robust architecture and long-term client success. Here are a few reasons businesses worldwide trust us for their most critical data projects.
Proven Track Record
We have 200+ reviews across different platforms, and you can see that we maintain a rating of 4.8-5 stars in all of them. Our clients consistently praise the reliability and performance of the integrations we build.
Top-Tier, Multi-Domain Talent
Beyond our technical expertise, our engineers have integration experience in dozens of domains, including finance, healthcare, e-commerce, logistics, and manufacturing.
Guaranteed Quality Control
When you hire database integration engineers from Vidi Corp, you also get free access to a senior solutions architect from our leadership team. Their role is to review the architecture and perform quality checks on the delivered work to ensure it meets our high standards and your long-term needs.
Accelerated Delivery with Pre-Built Components
We have developed dozens of pre-built connectors, transformation scripts, and integration templates. We leverage these assets to make our work faster and deliver robust solutions to our clients in fewer billable hours.
Focus on Security & Scalability
We don’t just make things work; we make them work securely and at scale. Our engineers build integrations with data governance, compliance (like GDPR, HIPAA), and future growth in mind, ensuring your data infrastructure is a competitive advantage, not a liability.
Step 1 — Submit the form
Share your data sources, target systems, and high-level integration goals. Your information is secure and confidential.
Step 2 — Discuss your requirements
We’ll walk you through our engagement models and refine the technical scope and architecture approach together.
Step 3 — Approve the proposal
Meet a vetted database integration engineer and sign a clear, deliverables-based agreement.
Step 4 — Onboard and launch
Set success metrics, integrate the engineer with your team, grant necessary system access, and kick off the integration project.
Build a foundation for true business intelligence. Hire our database integration engineers to create reliable, real-time connections across your entire technology stack. Whether you need a one-time data migration or ongoing engineering expertise to support your data strategy, we’re here to help you succeed.
A database integration engineer connects multiple systems and databases through APIs, ETL pipelines, and automated workflows to ensure consistent, secure, and real-time data synchronization.
Yes. We specialize in connecting legacy databases to modern cloud platforms while maintaining data integrity.
Absolutely. We integrate and optimize Azure SQL, BigQuery, Snowflake, AWS Redshift, and other cloud-based solutions.
Timelines depend on system complexity. Many API integrations can be deployed within weeks, while enterprise-scale integrations follow phased implementation.
