01

architecture_and_design

  • Platform architecture
    Design distributed, cloud, and on-prem database platforms built to scale: Snowflake, SingleStore, Oracle, MS-SQL, SAP IQ & ASE, MySQL.
  • Data modeling
    Logical and physical modeling for OLTP and OLAP systems, including star schema and Data Vault warehouse design.
  • Capacity & hardware planning
    Right-size infrastructure and storage strategy before you scale, not after.
02

cloud_migration

  • Legacy-to-cloud migration
    Move multi-petabyte workloads off legacy platforms with schema redesign and a cutover plan that doesn't surprise anyone — a 10+ PB track record.
  • Hybrid & multi-platform integration
    Unify heterogeneous sources — Oracle, SQL Server, Sybase, legacy feeds — into a single relational model that supports analytics and reporting.
  • Infrastructure as code
    Terraform-driven provisioning so environments are reproducible, not hand-built.
03

performance_tuning

  • Query & index tuning
    Rework SQL, indexing, partitioning, and pruning strategies — the same approach that cut CPU/memory load and query times roughly in half on production systems.
  • Low-latency & distributed systems
    Architecture for never-down platforms supporting tens of millions of users.
  • Capacity validation
    Benchmarking and proof-of-concept work before changes hit production.
04

pipelines_and_automation

  • ETL/ELT pipeline design
    Build and orchestrate data pipelines with dbt, Fivetran, and Airflow.
  • CI/CD for data
    Liquibase- and Git-based schema change management with automated testing and rollback.
  • Real-time & batch integration
    Replication and streaming pipelines that keep downstream systems in sync.
05

production_support_and_security

  • 24×7 production support
    Monitoring, maintenance, and on-call frameworks for platforms that can't go down.
  • Access & audit frameworks
    RBAC, replication security, and audit logging across multi-team environments.
  • Compliance & governance
    Encryption, IAM, and network segmentation built to enterprise and regulatory standards.
How an engagement runs

Five stages, scoped to what you actually need

01

Assessment

Review the current platform, pain points, and goals.

02

Architecture

Design the target schema, platform, and migration path.

03

Implementation

Build, migrate, and integrate, with checkpoints along the way.

04

Tuning & validation

Benchmark performance and validate against real production load.

05

Ongoing support

Stay on for monitoring, on-call coverage, or a planned ramp-down.

Not sure which of these you need?

That's normal — most problems show up as "the database is slow" before anyone knows why. Describe what you're seeing and we'll figure out the rest together.