Lakehouse & warehouses
Snowflake, BigQuery, Databricks, Redshift, and Iceberg-based open lakehouses.
Modern data stacks, real-time pipelines, lakehouses, and BI built for trustworthy, decision-ready data.
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.
Unified models, dbt-based transformations, and tested data products end the metric arguments.
Streaming pipelines bring operations, finance, and product onto live dashboards.
Feature stores, vector indices, and clean metadata accelerate ML and GenAI projects.
Lineage, masking, and access controls aligned to GDPR, HIPAA, and internal policy.
Warehouse FinOps, query tuning, and storage tiering control runaway data bills.
Semantic layers and curated marts let business teams answer their own questions.
Snowflake, BigQuery, Databricks, Redshift, and Iceberg-based open lakehouses.
dbt, Airflow, Dagster, and Prefect with tested, version-controlled models.
Kafka, Kinesis, Flink, and Materialize for real-time analytics and operations.
Looker, Power BI, Metabase, Superset — with semantic models and KPI catalogs.
Feature platforms, vector databases, and pipelines designed for ML and GenAI.
Lineage, catalogs, masking, and access controls aligned to your compliance posture.
Use-case interviews, source-system mapping, and data quality baseline.
Reference architecture, data contracts, and governance model.
Pipelines, models, and BI assets shipped in iterative releases.
SLAs on freshness, quality, and cost — with on-call coverage.
Training, documentation, and analytics engineering enablement for your teams.
Learning platforms, admissions workflows, faculty tools, and student-facing portals.
Patient portals, clinical workflows, and decision support built around privacy and uptime.
Core banking, payments, KYC, risk, and embedded finance with strict security baselines.
Storefronts, marketplaces, fulfillment integrations, and AI personalization.
Ops dashboards, IoT telemetry, route optimization, and warehouse automation.
Internal platforms, partner portals, and multi-tenant SaaS products at scale.
We staff with engineers trained through the HIGAET Academy talent pipeline — no rotating juniors.
Squads obsess over user outcomes and KPIs, not just ticket throughput or hours billed.
NDAs, IP assignment, audit logs, and SOC 2-aligned controls on every engagement.
Strategy, design, engineering, AI, data, and SRE — one accountable team, not a chain of vendors.
Every project considers where intelligent automation creates leverage for users and operators.
We co-build with select partners, sharing both delivery risk and long-term upside.
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