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humaineeti

Data Engineering · Data Platform One source of truth for every consumer.

An AI agent is only as smart as the data underneath it. We build the lakehouse — bronze, silver, gold — that your BI, applications and AI agents can trust.

Talk to an engineerRead the lakehouse guide

Why it matters

AI needs context. Context needs a data platform.

Without one, every agent and dashboard works from partial truth.

  1. 01Data scattered across business applications slows decisions and creates blind spots.
  2. 02Without a unified environment, there is no true 360° view to base decisions on.
  3. 03AI agents inherit every gap in the data underneath them.
  4. 04The right architecture — data lake, warehouse, lakehouse or hybrid — depends on your IT landscape and goals.

What we deliver

Complete data platforms, batch and streaming.

Our engineering teams design, build and operate data platforms with extensive use of AI co-workers — data lakehouse, data warehouse and AI-BI — ready for day-2 operations.

Data strategy and architecture

Roadmap, source identification and KPI alignment.

Data pipeline development

ETL and real-time streaming for analytics and AI.

Data storage and warehousing

Lakes, warehouses and Delta tables at scale.

Data governance and compliance

Quality, security, access control and regulatory frameworks.

DataOps and MLOps

Automated integration, QA and machine learning operations.

Cloud data engineering

Secure cloud-native infrastructure on AWS and beyond.

The lakehouse

Bronze, silver, gold. Then every consumer.

Storage (Parquet, Delta, Iceberg) is decoupled from compute (Trino, Spark, DuckDB) and from feature and vector serving.

  1. / 01

    Ingest

    Consolidate data from every source into a single, unified environment, in batch and streaming modes.

  2. / 02

    Bronze

    Raw data, landed as-is.

  3. / 03

    Silver

    Cleaned data, with automated validation across every system and team.

  4. / 04

    Gold

    Business-ready data, aligned to your KPIs.

  5. / 05

    Serve

    One source of truth for the BI, applications and AI agents above.

Platforms we work with

Cloud-native on AWS. Open where it counts.

Cloud and platforms

  • AWS
  • Databricks
  • Snowflake

Open-source stack

  • Spark
  • Airflow
  • Kafka

Storage formats

  • Parquet
  • Delta
  • Iceberg

Compute

  • Trino
  • Spark
  • DuckDB

Architectures

  • Data lake
  • Data warehouse
  • Lakehouse
  • Hybrid

Why partner with us

We handle the complexity. You own the outcomes.

  • Faster insights

    Decision-ready data, sooner.

  • Built to scale

    Grows with your data volumes without system overhauls.

  • Trusted data quality

    Automated validation across every system and team.

  • Operational efficiency

    Automated workflows reduce manual effort and errors.

  • Security and compliance

    Built for DPDP (India), GDPR and sector-specific requirements.

  • Deep expertise

    Access to specialists without the cost of building a team in-house.

  • Cost optimisation

    Cloud-native infrastructure that reduces total cost of ownership.

Where it fits

The context layer under every agent and dashboard.

The Data Platform feeds AI-Powered BI with governed, live data and runs on the Infrastructure layer beneath it. Data governance, RBAC and audit trails are built into every layer of the lakehouse.

FAQ

Frequently asked.

01Why does an AI agent need a strong data platform?

An AI agent is only as smart as the data underneath it. We build the lakehouse — bronze, silver, gold — that the BI, applications and AI agents above it can trust.

02What is a lakehouse architecture?

A unified data architecture that combines the flexibility of a data lake with the governance and performance of a warehouse. Storage (Parquet, Delta, Iceberg) is decoupled from compute (Trino, Spark, DuckDB) and from feature and vector serving.

03Which data platforms does humaineeti work with?

Primarily cloud-native on AWS, with support for Databricks, Snowflake and open-source stacks (Spark, Airflow, Kafka). Data is organised in three layers: bronze (raw), silver (cleaned) and gold (business-ready).

04What about DPDP Act and GDPR compliance for data?

Data governance, RBAC and audit trails are built into every layer of the lakehouse, with explicit support for obligations under India’s DPDP Act 2023 and the EU GDPR.

Related guides

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Next step

Build the platform your AI can trust.

Consolidate every source into one governed lakehouse — the foundation for confident decisions and the context your AI agents need.

Plan your data platform