Skip to content
Data engineering & BI

Data platforms that fuel analytics, AI, and operations.

Modern data stacks, real-time pipelines, lakehouses, and BI built for trustworthy, decision-ready data.

  • Modern data stack (dbt, Snowflake, BigQuery)
  • Streaming pipelines with Kafka / Kinesis
  • Governance and lineage end-to-end
  • AI-ready feature stores
Overview

Decision-grade data, ready for AI.

We build data platforms that engineers, analysts, and AI systems can all trust. From ingestion to BI, from feature stores to embedded analytics — designed with governance, lineage, and cost discipline.

Business benefits

Outcomes you can measure on the balance sheet.

  • One source of truth

    Unified models, dbt-based transformations, and tested data products end the metric arguments.

  • Real-time insight

    Streaming pipelines bring operations, finance, and product onto live dashboards.

  • AI-ready foundations

    Feature stores, vector indices, and clean metadata accelerate ML and GenAI projects.

  • Governed & compliant

    Lineage, masking, and access controls aligned to GDPR, HIPAA, and internal policy.

  • Lower cloud spend

    Warehouse FinOps, query tuning, and storage tiering control runaway data bills.

  • Self-service analytics

    Semantic layers and curated marts let business teams answer their own questions.

Key capabilities

Everything you need from a senior delivery partner.

Lakehouse & warehouses

Snowflake, BigQuery, Databricks, Redshift, and Iceberg-based open lakehouses.

ELT & transformation

dbt, Airflow, Dagster, and Prefect with tested, version-controlled models.

Streaming pipelines

Kafka, Kinesis, Flink, and Materialize for real-time analytics and operations.

BI & dashboards

Looker, Power BI, Metabase, Superset — with semantic models and KPI catalogs.

ML & feature stores

Feature platforms, vector databases, and pipelines designed for ML and GenAI.

Governance

Lineage, catalogs, masking, and access controls aligned to your compliance posture.

Our process

A predictable path from discovery to operate.

  1. 01

    Discover

    Use-case interviews, source-system mapping, and data quality baseline.

    • Use-case backlog
    • Audit
  2. 02

    Design

    Reference architecture, data contracts, and governance model.

    • Architecture
    • Contracts
  3. 03

    Build

    Pipelines, models, and BI assets shipped in iterative releases.

    • Pipelines
    • Models
    • Dashboards
  4. 04

    Operate

    SLAs on freshness, quality, and cost — with on-call coverage.

    • SLAs
    • Dashboards
  5. 05

    Enable

    Training, documentation, and analytics engineering enablement for your teams.

    • Docs
    • Training
Technology stack

A modern toolbox, matched to your constraints.

Warehouses

  • Snowflake
  • BigQuery
  • Databricks
  • Redshift

Transformation

  • dbt
  • Airflow
  • Dagster
  • Prefect

Streaming

  • Kafka
  • Kinesis
  • Flink
  • Materialize

BI

  • Looker
  • Power BI
  • Metabase
  • Superset

ML & AI

  • Feature stores
  • Vector DBs
  • MLflow
  • Vertex AI
Industries

Sectors where we ship this service every quarter.

Education

Learning platforms, admissions workflows, faculty tools, and student-facing portals.

Healthcare

Patient portals, clinical workflows, and decision support built around privacy and uptime.

Finance & FinTech

Core banking, payments, KYC, risk, and embedded finance with strict security baselines.

Retail & E-commerce

Storefronts, marketplaces, fulfillment integrations, and AI personalization.

Logistics

Ops dashboards, IoT telemetry, route optimization, and warehouse automation.

Enterprise & SaaS

Internal platforms, partner portals, and multi-tenant SaaS products at scale.

Why HIGAET

The combination most agencies can't credibly offer.

Senior squads, low churn

We staff with engineers trained through the HIGAET Academy talent pipeline — no rotating juniors.

Product-minded delivery

Squads obsess over user outcomes and KPIs, not just ticket throughput or hours billed.

Enterprise governance

NDAs, IP assignment, audit logs, and SOC 2-aligned controls on every engagement.

Full-stack capability

Strategy, design, engineering, AI, data, and SRE — one accountable team, not a chain of vendors.

AI in the DNA

Every project considers where intelligent automation creates leverage for users and operators.

Skin in the game

We co-build with select partners, sharing both delivery risk and long-term upside.

FAQ

Questions enterprise buyers usually ask.

Don't see your question? Send it through and the right engineer will reply.

Ask the team

Start a project

Tell us about your data engineering & bi initiative.

Share a few details and we'll come back within one business day with a recommended team shape, scope, and next steps.

HIGAET Technologies

Build a data platform you can bet on — with HIGAET.

Tell us about your data goals. We'll respond with a reference architecture and roadmap.