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Data Lake & Lakehouse Services

We design, build, and optimize open lakehouse architectures at petabyte scale, delivering ACID reliability and fast, unified querying for your analytics and AI teams.
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Trusted by Startups | Enterprises | SaaS Companies

Trusted by founders across
the US, UAE, and beyond
Got a Data Lake Challenge?
Got a Data Lake Challenge?

We Will Architect Your Lakehouse to Production Standards. Zero Silos. Zero Data Swamps. 

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Faster ingestion & petabyte-scale analytics

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Lower storage & compute costs via open formats

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ACID compliance for reliable concurrent operations

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Metadata compaction & automated cost governance

What Are Data Lakehouse?
What Are Data Lakehouse?

A data lakehouse unites the scale of data lakes with the reliability, ACID transactions, and query speed of data warehouses across all data types. 

At Enlight Lab, we build governed Medallion architectures (Bronze, Silver, Gold) that transform raw data into high-performance assets, preventing unmanaged data swamps. 

A production-ready data lakehouse engagement runs through four structured phases:

Assess

Design

Build

Optimize

Types of Data Lake & Lakehouse Services We Offer
Types of Data Lake & Lakehouse Services We Offer

Flexible lakehouse implementation and modernization services tailored to your data volume, cloud ecosystem, and analytical complexity.

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Cloud Lakehouse Architecture & Implementation

Design and deploy open lakehouses on Databricks, Snowflake, AWS, or Azure for scalable, lock-in-free analytics.

Lake Modernization & Swamp Remediation

Transform unstructured, unmanaged data swamps into governed, partitioned repositories with full lineage and cataloging.

Open Table Formats (Iceberg & Delta)

Implement Apache Iceberg, Delta Lake, and Hudi for ACID reliability, schema evolution, and fast time-travel querying.

Real-Time Streaming Ingestion

Build sub-second streaming pipelines with Kafka and Spark to feed operational dashboards and real-time AI models.

Governance & Metadata Cataloging

Deploy centralized access controls, dynamic masking, and cataloging via Unity Catalog and Lake Formation for complete compliance.

Lakehouse FinOps & Storage Optimization
Automate file compaction, small-file merging, and storage tiering to cut cloud compute costs without slowing queries.

Bring Modern Lakehouse Engineering Into Your Analytics and AI Infrastructure 

From initial storage discovery, our lakehouse engineers audit your data sources, design open-table architectures, build automated transformation pipelines, and validate performance delivering a single repository your analytics and AI teams can rely on. 

Book a Discovery Call
Data Lake & Lakehouse Services Built for Every Industry's Scale and Compliance Standards
Data Lake & Lakehouse Services Built for Every Industry's Scale and Compliance Standards

Purpose-built lakehouse architectures designed around your sector’s data complexity, workload volume, and regulatory landscape.

Data Lakehouse for Healthcare (HIPAA)

Unify EHR databases, FHIR streams, and medical imaging into an encrypted repository for population health analytics and clinical AI. 

Use cases include: 

  • Multi-modal clinical and medical imaging lakehouses for AI model diagnostics 
  • HIPAA-compliant population health research and patient outcome analytics 
  • Real-time IoT patient monitoring and hospital operations data streaming 
  • Centralized clinical data platforms for regulatory audit readiness
Book a Discovery Call

Data Lakehouse for Finance (PCI DSS & SOC 2)

Securely store tick data, transaction ledgers, and communications with granular access controls and immutable audit trails. 

Use cases include: 

  • Quantitative research platforms for historical market backtesting and simulation 
  • Real-time streaming ingestion for fraud detection and risk analytics 
  • Transactional data lakehouses supporting continuous regulatory reporting 
  • Centralized financial auditing repositories with automated lineage tracking
Book a Discovery Call

Data Lakehouse for Insurance

Consolidate policy records, telematics streams, and claims images to accelerate settlement times and improve underwriting precision. 

Use cases include: 

  • Multi-modal claims processing lakehouses for photo-based damage analysis 
  • Telematics streaming repositories for dynamic usage-based insurance pricing 
  • Actuarial data platforms for complex risk modeling and scenario simulations 
  • Policy lifecycle repositories maintaining complete audit trails and data lineage 
Book a Discovery Call

Data Lakehouse for Enterprise

Unify multi-cloud datasets across global business units into a governed foundation powering cross-functional BI and AI platforms. 

Use cases include: 

  • Enterprise data consolidation across global ERP, CRM, and supply chain systems 
  • Multi-cloud lakehouse deployments with unified data governance and catalogs 
  • Centralized business intelligence hubs powering cross-departmental dashboards 
  • Enterprise AI platforms providing clean training data for internal applications
Book a Discovery Call

Data Lakehouse for Banking (KYC & AML)

Aggregate real-time payments, credit history, and audit records in an encrypted environment built for continuous fraud detection. 

Use cases include: 

  • Real-time anti-money laundering (AML) and continuous fraud detection engines 
  • Core banking analytical stores supporting instant risk assessment and credit scoring 
  • Customer 360 platforms aggregating omnichannel customer interactions and transactions 
  • Regulatory data lakes ensuring complete data immutability and compliance reporting
Book a Discovery Call

Data Lakehouse for E-commerce

Ingest high-volume clickstreams, orders, and inventory to drive real-time recommendation engines, dynamic pricing, and attribution. 

Use cases include: 

  • High-volume clickstream ingestion for dynamic real-time personalization 
  • Supply chain and multi-warehouse inventory optimization analytics 
  • Multi-touch attribution platforms analyzing complex customer journeys 
  • AI recommendation engines trained on customer browse and purchase histories
Book a Discovery Call

Data Lakehouse for Education (FERPA)

Consolidate LMS activity, enrollment trends, and academic performance data to optimize student outcomes and institutional reporting. 

Use cases include: 

  • Student success analytics platforms for identifying drop-out risk early 
  • LMS interaction and engagement tracking for dynamic curriculum optimization 
  • Institutional research repositories supporting federal accreditation reporting 
  • Centralized educational data platforms with granular privacy and role management
Book a Discovery Call

Data Lakehouse for SaaS (SOC 2)

Aggregate product telemetry, subscription events, and usage logs to power churn prediction, PLG insights, and tenant-facing analytics. 

Use cases include: 

  • Product analytics lakehouses tracking user onboarding and feature adoption 
  • Revenue intelligence platforms aggregating billing, churn, and expansion metrics 
  • Customer health score platforms for proactive customer success management 
  • Multi-tenant data architectures delivering scalable in-app user analytics
Book a Discovery Call

Data Lakehouse for Healthcare (HIPAA)

Unify EHR databases, FHIR streams, and medical imaging into an encrypted repository for population health analytics and clinical AI. 

Use cases include: 

  • Multi-modal clinical and medical imaging lakehouses for AI model diagnostics 
  • HIPAA-compliant population health research and patient outcome analytics 
  • Real-time IoT patient monitoring and hospital operations data streaming 
  • Centralized clinical data platforms for regulatory audit readiness
Book a Discovery Call

Data Lakehouse for Finance (PCI DSS & SOC 2)

Securely store tick data, transaction ledgers, and communications with granular access controls and immutable audit trails. 

Use cases include: 

  • Quantitative research platforms for historical market backtesting and simulation 
  • Real-time streaming ingestion for fraud detection and risk analytics 
  • Transactional data lakehouses supporting continuous regulatory reporting 
  • Centralized financial auditing repositories with automated lineage tracking
Book a Discovery Call

Data Lakehouse for Insurance

Consolidate policy records, telematics streams, and claims images to accelerate settlement times and improve underwriting precision. 

Use cases include: 

  • Multi-modal claims processing lakehouses for photo-based damage analysis 
  • Telematics streaming repositories for dynamic usage-based insurance pricing 
  • Actuarial data platforms for complex risk modeling and scenario simulations 
  • Policy lifecycle repositories maintaining complete audit trails and data lineage
Book a Discovery Call

Data Lakehouse for Enterprise

Unify multi-cloud datasets across global business units into a governed foundation powering cross-functional BI and AI platforms. 

Use cases include: 

  • Enterprise data consolidation across global ERP, CRM, and supply chain systems 
  • Multi-cloud lakehouse deployments with unified data governance and catalogs 
  • Centralized business intelligence hubs powering cross-departmental dashboards 
  • Enterprise AI platforms providing clean training data for internal applications
Book a Discovery Call

Data Lakehouse for Banking (KYC & AML)

Aggregate real-time payments, credit history, and audit records in an encrypted environment built for continuous fraud detection. 

Use cases include: 

  • Real-time anti-money laundering (AML) and continuous fraud detection engines 
  • Core banking analytical stores supporting instant risk assessment and credit scoring 
  • Customer 360 platforms aggregating omnichannel customer interactions and transactions 
  • Regulatory data lakes ensuring complete data immutability and compliance reporting
Book a Discovery Call

Data Lakehouse for E-commerce

Ingest high-volume clickstreams, orders, and inventory to drive real-time recommendation engines, dynamic pricing, and attribution. 

Use cases include: 

  • High-volume clickstream ingestion for dynamic real-time personalization 
  • Supply chain and multi-warehouse inventory optimization analytics 
  • Multi-touch attribution platforms analyzing complex customer journeys 
  • AI recommendation engines trained on customer browse and purchase histories
Book a Discovery Call

Data Lakehouse for Education (FERPA)

Consolidate LMS activity, enrollment trends, and academic performance data to optimize student outcomes and institutional reporting. 

Use cases include: 

  • Student success analytics platforms for identifying drop-out risk early 
  • LMS interaction and engagement tracking for dynamic curriculum optimization 
  • Institutional research repositories supporting federal accreditation reporting 
  • Centralized educational data platforms with granular privacy and role management
Book a Discovery Call

Data Lakehouse for SaaS (SOC 2)

Aggregate product telemetry, subscription events, and usage logs to power churn prediction, PLG insights, and tenant-facing analytics. 

Use cases include: 

  • Product analytics lakehouses tracking user onboarding and feature adoption 
  • Revenue intelligence platforms aggregating billing, churn, and expansion metrics 
  • Customer health score platforms for proactive customer success management 
  • Multi-tenant data architectures delivering scalable in-app user analytics
Book a Discovery Call
The Technical Capabilities Behind Our Data Lake & Lakehouse Services
The Technical Capabilities Behind Our Data Lake & Lakehouse Services

Medallion Architecture

Structure data into Bronze (raw), Silver (cleansed), and Gold (business-ready) layers for trusted metrics.

Open Table Formats

Deploy Apache Iceberg, Delta Lake, and Hudi to enable ACID transactions, time travel, and schema evolution.

Streaming & Micro-Batching

Build low-latency Spark, Flink, and Kafka pipelines for real-time operational reporting directly on object storage.

Centralized Governance

Implement Unity Catalog and fine-grained RBAC with dynamic data masking for complete regulatory compliance.

Automated File Maintenance

Optimize partition layouts, Z-ordering, and VACUUM compaction routines to eliminate small-file query slowdowns.

AI & Feature Stores

Engineer centralized data pipelines and feature stores to power ML models and LLMs without offline-online drift.

Data Lakehouse Architectures That Connect Every Ingestion Stream and BI Consumer
Data Lakehouse Architectures That Connect Every Ingestion Stream and BI Consumer

We build lakehouse architectures that ingest data from any source APIs, streaming queues, databases, and logs, and serve any analytics, BI, or AI consumer with a unified, governed source of truth.

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How Our Data Lakehouse Development Process Works
How Our Data Lakehouse Development Process Works

01

Workload & Architecture Assessment

We audit your multi-modal data sources, map analytical and AI requirements, and design the optimal storage and open-table architecture.

02

Storage & Governance Framework Design

We establish the Medallion storage layout, table partition schemes, metadata catalogs, and role-based security policies before ingesting production data.

03

Pipeline Engineering & Lakehouse Build

We develop automated ingestion workflows, open table configurations, streaming pipelines, and quality validation gates across all storage tiers.

04

Query Engine & Tool Integration

We configure analytical query engines, connect BI dashboards and data science notebooks, and validate query latency across concurrent business workloads.

05

Automation, Monitoring & FinOps

We deploy automated file compaction routines, storage tiering schedules, real-time alert monitors, and compute cost governance frameworks.

Benefits of Data Lake & Lakehouse Services with Our Expert Engineering Team
Benefits of Data Lake & Lakehouse Services with Our Expert Engineering Team

Single Platform for BI and AI

Run business intelligence reports, exploratory analytics, and machine learning models against a unified, open data foundation.

Lower Total Cost of Ownership

Store massive structured and unstructured datasets in low-cost cloud object storage while paying compute only when querying.

Guaranteed ACID Reliability

Execute concurrent read and write operations without data corruption, schema mismatches, or dirty read errors.

Zero Vendor Lock-In

Keep complete ownership of your data in open formats like Parquet, Iceberg, and Delta that any modern compute engine can access.

Real-Time Data Availability

Ingest continuous data streams directly into lakehouse tables to support operational analytics and live dashboards.

Historical Time-Travel Queries

Access snapshots of historical data points effortlessly for retroactive auditing, backtesting, and instant rollback capabilities.

Centralized Data Governance

Apply consistent row- and column-level security, data masking, and lineage tracking across all internal user groups.

AI & LLM Training Ready

Feed clean, governed structured and unstructured datasets directly into ML models, neural networks, and generative AI pipelines.

Your Organization Should Be Training AI and Powering Analytics from One Open Platform.

Every organization handling structured, semi-structured, and unstructured data can implement a high-performance, cost-effective open lakehouse that unifies all downstream analytics and AI workflows – starting with one expert conversation about your architecture.

Book a Discovery Call
Why Choose Enlight Lab for Data Lake & Lakehouse Services
Why Choose Enlight Lab for Data Lake & Lakehouse Services

Enlight Lab is a specialized technology consulting company focusing on modern data engineering, lakehouse architectures, and cloud analytics serving enterprise and high-growth engineering teams across the US, UAE, UK, and global markets. 

We deliver:

Open Architecture Specialists
Certified Multi-Cloud Expertise
End-to-End Governance Design
Proactive FinOps & Maintenance

Unlike generic consultancies that drop raw files into object storage buckets and leave before performance bottlenecks emerge, our team designs, builds, optimizes, and maintains production-grade lakehouse platforms engineered for high throughput and long-term analytical value.

Frequently Asked Questions

Direct answers to the architectural and business questions technology leaders ask before building a modern data lakehouse.

A data lake stores multi-format data cheaply but lacks ACID controls; a data warehouse offers fast SQL on structured data but is costly and rigid. A data lakehouse unifies both, adding open-table metadata layers (Iceberg, Delta) onto cheap object storage for fast SQL, governance, and low costs.

Targeted, single-domain builds take 4–8 weeks. Full-scale enterprise programs with multi-source streaming, complex transformations, and central governance take 10–20 weeks.

Use Delta Lake for Databricks/Spark-heavy stacks, Apache Iceberg for vendor-agnostic multi-engine querying (Snowflake, Trino, BigQuery), and Apache Hudi for high-frequency streaming upserts.

We enforce a Medallion architecture (Bronze/Silver/Gold) paired with automated schema validation, metadata catalogs, and strict access governance before data reaches consumers.

Yes. High-performance engines like Databricks SQL, Snowflake, and Trino query open table formats directly, delivering sub-second BI dashboard performance without data duplication.

We set up automated lifecycle tiering (cold storage transitions), file compaction routines to eliminate small-file overhead, and auto-suspending compute clusters.

It unifies structured and unstructured data in one place, integrates natively with ML frameworks (PyTorch, TensorFlow), and offers time-travel versioning to eliminate training-serving drift.

We deliver 24/7 performance monitoring, automated VACUUM and metadata compaction, schema management, security audits, and continuous FinOps tuning.

Your Organization Should Be Building Intelligence from All Its Data - Not Just the Pieces Stored in a Warehouse.
Your Organization Should Be Building Intelligence from All Its Data - Not Just the Pieces Stored in a Warehouse.

Every organization managing diverse, growing datasets can deploy an open, high-performance data lakehouse that powers business intelligence, real-time analytics, and advanced AI, starting with one expert conversation about your data architecture.

Trusted by Startups | Enterprises | SaaS Companies

Got a data lakehouse challenge? Let's map it out.

We will design a custom lakehouse architecture and show you exactly what building it will involve and how it will perform.

MVP

Prefer confidentiality first? Email us at contact@enlightlab.com to request an NDA.