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SQL, Built to Scale.

Clean schemas, fast queries, and reliable pipelines. We tune Postgres, SQL Server, MySQL—then feed decision-ready data into Power BI, Tableau, and Airtable without firefights.

Learn how Ironhide designs models, optimizes performance, and hardens refresh so your analytics don’t stall.

Where SQL fits (your data backbone)

  • Source of truth: curated schemas for finance, revenue, ops, and product.
  • Analytics-ready: star schemas that BI tools can slice at speed.
  • Pipelines: ingestion and transformation for Airtable/HubSpot/Salesforce/GA.
  • Warehouse bridge: federate or sync to Snowflake when scale demands.

Common pitfalls we fix

  • Slow queries from missing indexes, wide tables, and row-by-row logic.
  • Broken refresh jobs with no monitoring, retries, or audit columns.
  • Spaghetti ETL: transformations scattered across apps and scripts.
  • No governance: PII exposure, no roles/RLS, no change control.

SQL services we deliver

Data Modeling & Schema Design
  • Domain-driven design → source-aligned staging → analytics star schemas.
  • Surrogate keys, date dimensions, conformed dimensions across systems.
  • Type & constraint strategy to prevent drift and enforce quality.
  • Migrations and versioning with rollback plans.
Performance & Reliability
  • Indexing (covering/partial), partitioning, and materialized views.
  • Query profiling: EXPLAIN/ANALYZE, plan caching, parameter sniffing fixes.
  • Incremental loads and change data capture (CDC) where appropriate.
  • Health checks: deadlocks, bloat, vacuum/maintenance schedules.
ETL/ELT Pipelines
  • Ingestion from CRMs, marketing, billing, and ops systems.
  • Transformations in SQL (CTEs/views/procs) with deterministic logic.
  • Job orchestration with retries, alerting, and run history.
  • Exports & curated marts for BI tools and external apps.
Security & Governance
  • Role-based access, schema-level privileges, and row-level security.
  • PII handling strategies: masking, tokenization, least-privilege access.
  • Backups, retention, environment separation (Dev/Test/Prod).
  • Documentation, lineage, and change management standards.
Warehouse & BI Integration
  • Snowflake/warehouse syncs; when to offload vs. keep in OLTP.
  • Power BI/Tableau models and refresh strategies tuned to volume.
  • DirectQuery vs Import tradeoffs and hybrid designs.
  • Data contracts with downstream apps and reports.

How we work (fast)

  1. Discover — audit schema, queries, and pipeline health.
  2. Design — target model, SLOs, and refresh plan.
  3. Build — tables, views, indexes, and jobs.
  4. Harden — monitoring, retries, and security roles.
  5. Enable — runbooks + Loom handoff for admins.

Typical outcomes

3–10×

query speed-up on critical reports

99%+

successful scheduled job runs

↓

incidents from schema drift & PII exposure

1

curated layer everyone trusts

Proof it works

“Ironhide rebuilt our SQL model and pipelines—reports run in seconds and refresh hasn’t missed in months.”

— VP Analytics, Multi-location Services (case study coming soon)