Data Engineering That Turns Data Into Decisions.

Enterprise data engineering services include data integration, pipeline development, platform modernization, cloud migration, governance, and the analytics and BI layer on top. SMI TechSolutions delivers all of these as one program, so data flows from source systems to dashboards and AI models without hand-offs between vendors.

Data engineering builds and runs the pipelines and platforms that make data reliable. Business intelligence services turn that data into reports, dashboards, and KPIs leaders act on. SMI TechSolutions does both, so the Power BI cockpit sits on data that is already clean and governed.

Data engineering consulting assesses your current data estate, defines the target architecture, and sets a cost model and delivery plan. SMI TechSolutions then stays to build it, so the consulting recommendations turn into running pipelines and platforms, not a shelf report.

Data integration services connect ERP, CRM, finance, operations, and third-party systems into one governed data platform. SMI TechSolutions uses tools such as Fivetran, Azure Data Factory, and Airbyte, with automated checks so every source lands accurate, complete, and on time.

An AI-ready data platform holds clean, governed, well-documented data that machine learning and generative AI can use safely. It combines a modern lakehouse or warehouse, reliable pipelines, lineage, and access controls. SMI TechSolutions builds AI-ready data platforms on Databricks, Snowflake, and Microsoft Fabric.

SMI TechSolutions builds pipelines with orchestration tools such as Airflow or Azure Data Factory and adds automated tests for schema, completeness, freshness, and business rules at every stage. Failed checks stop bad data before it reaches reports, and alerts go to the owning team.

Enterprise data governance at SMI TechSolutions starts with ownership, data definitions, and access rules, then enforces them in the platform with catalogs such as Unity Catalog, Microsoft Purview, or Collibra. Lineage and role-based access are built in from the first pipeline, not added later.

SMI TechSolutions builds a cost model early, then applies FinOps practices: right-sized compute, auto-suspend, storage tiering, and query optimization. Spend is tracked against usage in a shared dashboard, so costs stay predictable as data volume and users grow.

SMI TechSolutions can deliver an executive cockpit MVP in 30 days, covering five KPIs, one executive sponsor, and one data domain, then scale from there.

Look for a data engineering company with experience on your target platforms, a clear approach to governance and data quality, references in your industry, and a pricing model tied to outcomes. SMI TechSolutions offers outcome-based contracts so fees track delivered results.

You do. SMI TechSolutions works inside your cloud accounts and repositories and hands over full code, documentation, and runbooks. You can keep SMI running the platform under an External IT Team or GCC model, or take it in-house.