Database Architecture, Design & Implementation

Oracle

Oracle Database installation, configuration, and optimization (on-prem & cloud)
Database architecture blueprinting (single instance, RAC, Exadata, or hybrid)
Logical & physical database design for OLTP, OLAP, and Data Warehouse workloads
Database capacity planning, resource sizing, and scalability assessment
Oracle Multitenant (CDB/PDB) architecture implementation

Microsoft SQL

SQL Server installation, configuration, and optimization (on-prem, Azure, or hybrid)
Database architecture blueprinting for OLTP, Data Warehouse, and analytics workloads
Always On Availability Groups (AG, FCI) design and deployment
Capacity planning, partitioning, and schema optimization
Consolidation and instance tuning for cost and performance efficiency

Postgres

PostgreSQL cluster design and configuration (on-prem, cloud, or hybrid)
High-performance schema and indexing strategies for OLTP/OLAP workloads
Connection pooling setup with PgBouncer/Patroni
Sharding and partitioning design for scale-out performance
HA-ready architecture leveraging streaming replication and failover managers

My SQL

MySQL installation, configuration, and optimization (on-prem, cloud, hybrid)
Architecture blueprinting for transactional and analytical workloads
Schema design, normalization, and indexing strategy
MySQL InnoDB Cluster and Group Replication setup
Capacity planning and performance sizing

MongoDB

MongoDB cluster design and deployment (on-prem, Atlas, or hybrid)
Sharded cluster and replica set architecture for scalability and fault tolerance
Schema design using document modeling best practices
Indexing and query pattern optimization for NoSQL workloads
Capacity planning, sizing, and high-performance cluster configuration

Cassandra

Cluster design and deployment (on-premises, cloud, or hybrid)
Data modeling and partitioning for high write/read throughput
Replication strategy design (SimpleStrategy, NetworkTopologyStrategy)
Consistency level tuning for availability vs performance balance
Schema and keyspace optimization for linear scalability

REDIS

Redis cluster and sentinel-based high-availability architecture
Deployment models: standalone, clustered, or Redis Enterprise
Schema-less key-value data design for caching, session, and real-time workloads
Data type optimization (Strings, Hashes, Lists, Sets, Sorted Sets, Streams)
Capacity planning and cluster sizing for in-memory workloads

Elasticsearch

Elasticsearch cluster design (standalone, HA, or distributed setup)
Index and shard design for performance and data balance
Multi-node deployment and scaling (hot-warm-cold architecture)
Integration with Logstash, Beats, and Kibana for data ingestion and visualization
Elastic Cloud or on-premise deployment (self-managed or Elastic Cloud Enterprise)

Neo4J

Neo4j cluster and causal clustering setup (Enterprise & AuraDB)
Graph data model design (nodes, relationships, properties)
Schema creation and indexing for efficient traversal and querying
Integration of Neo4j with relational and NoSQL systems
Capacity and performance planning for graph-intensive workloads

Kafka

Kafka cluster architecture and design (on-prem, cloud, or hybrid)
Broker, Zookeeper, and KRaft mode configurations
Topic partitioning and replication strategy for high throughput
Event-driven microservices design using Kafka Streams and Connect
Schema registry and message serialization (Avro, JSON, Protobuf)

Object Storage

Design and deployment of enterprise-grade object storage platforms (on-prem, hybrid, and cloud)
Architecture planning for Amazon S3, Azure Blob, Google Cloud Storage, and on-prem S3-compatible systems (MinIO, Dell ECS, Hitachi HCP)
Multi-region, multi-tenant storage architecture with global namespace design
Metadata indexing, versioning, and bucket lifecycle management
API integration for data-intensive applications and AI/ML pipelines