Reliable Databases & Cloud Storage for Modern Applications

Expertise in PostgreSQL, MySQL, MSSQL, Oracle, and cloud storage solutions like AWS S3 and Azure Blob. 15+ years • 500+ Deployments • Data Security Focused

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Architecting Secure, Scalable, and High-Performance Data Systems

One Team US builds efficient database and storage architectures that keep mission-critical data secure and accessible. We specialize in on-premise and cloud hybrid setups to ensure continuity, performance, and cost optimization.

Database & Storage Capabilities

Database Architecture & Schema Design

Design normalized schemas, define entity relationships, establish indexing strategies, and plan for scalability and performance.

SQL & NoSQL Data Modeling

Model relational data with proper normalization and constraints, design document structures for NoSQL, and choose appropriate database types.

Cloud Storage Integration

Integrate AWS S3, Azure Blob Storage, and Google Cloud Storage for object storage, backups, media files, and data lakes.

Data Replication & Synchronization

Set up master-slave replication, multi-region deployments, read replicas for scaling, and real-time data synchronization.

Backup, Disaster Recovery & High Availability

Implement automated backups, point-in-time recovery, failover clusters, and disaster recovery plans with RPO/RTO targets.

ETL Pipelines & Data Migration

Build extract-transform-load pipelines, migrate data between systems, validate data integrity, and handle incremental updates.

Query Optimization & Indexing

Analyze slow queries, create appropriate indexes, optimize joins and subqueries, and implement query caching strategies.

Data Encryption & Access Control

Implement AES-256 encryption at rest and in transit, establish RBAC policies, audit logs, and compliance controls (HIPAA, SOC 2).

Supported Technologies

Relational Databases

PostgreSQL — Advanced open-source database with JSON support.

MySQL — Popular open-source relational database.

MSSQL — Microsoft SQL Server for enterprise applications.

Oracle — High-performance enterprise database.

NoSQL Databases

MongoDB — Document-oriented database for flexible schemas.

Redis — In-memory data store for caching and sessions.

Cassandra — Distributed NoSQL for high availability.

Cloud Storage

AWS S3 — Object storage with 99.999999999% durability.

Azure Blob Storage — Cloud storage for unstructured data.

Google Cloud Storage — Scalable object storage.

Backup, Tools & Analytics

pgBackRest, Oracle RMAN — Database backup tools.

AWS Glacier, Azure Backup — Long-term archival.

BigQuery, Snowflake — Cloud data warehouses.

Power BI integration — Business analytics.

Data Management Process

1. Assessment & Design
Define data structure requirements, plan scaling strategy, establish replication topology, and design backup/recovery procedures.
2. Implementation
Set up database servers, configure clusters, create storage buckets, establish security policies, and implement access controls.
3. Optimization
Tune query performance, create indexes, implement caching layers, optimize connection pools, and reduce storage costs.
4. Backup & Security
Configure automated backups, implement encryption at rest and in transit, establish access control policies, and set up audit logging.
5. Monitoring & Maintenance
Track performance metrics, set up alerts for issues, monitor storage costs, perform routine maintenance, and plan capacity upgrades.

Featured Database Projects

Database architectures powering critical systems

Hydrosoft Water Management System

Enterprise database architecture with PostgreSQL for water treatment operations. Real-time data sync, route optimization, field service scheduling, and reporting dashboards.

Rapid Die Cut ERP Database

PostgreSQL database optimization for Odoo ERP. Custom indexes, query tuning, automated backups, and data migration from legacy systems for manufacturing operations.

Smart Mooring IoT Data Storage

Scalable data architecture combining PostgreSQL for relational data and cloud storage for IoT sensor readings, weather data, and time-series analytics.

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