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Data Lakehouse Implementation (Snowflake, Databricks, etc.)

Unify Your Data Lake & Data Warehouse into a Modern, Scalable, AI-Ready Lakehouse Architecture

Global Reach

Strategies adapted for international markets.

Rapid Deployment

Accelerated timelines for quicker ROI.

Risk Mitigation

Comprehensive compliance and security.

Overview

Strategic Innovation

Traditional data architectures force enterprises to choose between flexible but ungoverned data lakes and structured but rigid data warehouses. However, modern analytics, AI, real-time workloads, and cross-domain use cases require a unified platform that delivers both scalability and strong governance. SkillzRevo’s Data Lakehouse Implementation service helps organizations integrate the power of data lakes with the reliability of data warehouses using platforms like Databricks, Snowflake, Delta Lake, Iceberg, Hudi, BigQuery, and Synapse. We design, implement, and operationalize enterprise-grade lakehouse architectures that support batch, streaming, ML, BI, and GenAI workloads under one unified ecosystem. We work with enterprise data leaders, engineering teams, analytics heads, and CIO organizations to build lakehouses that are scalable, cost-efficient, governed, and AI-ready.

"We don't just advise; we partner with you to implement solutions that drive tangible growth."

Why Choose This Service?

  • Data-Driven Decision Making
  • End-to-End Implementation
  • Scalable Architecture
Capabilities

How We Transform Business

Lakehouse Architecture Design Unified architecture combining ingestion, bronze-silver-gold layers, governance, and scalable compute.

Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.

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Delta Lake, Iceberg or Hudi Implementation Set up open table formats with ACID transactions, time travel, versioning, schema evolution & governance.

Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.

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Batch & Real-Time Data Processing Pipelines Design ETL/ELT pipelines using Spark, SQL, DBT, Stream processing, and orchestration frameworks.

Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.

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Snowflake and Databricks Lakehouse Setup End-to-end implementation including security, roles, optimization, storage zones, and compute clusters.

Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.

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Data Quality, Governance & Lineage Enablement Implement expectations, DQ rules, lineage tracking, and catalog integration.

Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.

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MLOps & AI Integration in the Lakehouse Enable model training, deployment, feature stores, and AI workloads natively in the lakehouse.

Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.

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BI & Analytics Consumption Layer Integrate with Power BI, Tableau, Looker, Sigma, and internal reporting systems.

Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.

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Cost Optimization & Elastic Compute Planning Right-sizing compute, storage optimization, auto-scaling, and warehouse tuning.

Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.

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Impact

Real World Results

Case Study

Lakehouse Deployment for a Retail E-Commerce Brand

The brand needed a unified environment for personalization, real-time recommendations, and analytics. What we delivered:

Solution

  • Databricks Lakehouse architecture
  • Bronze–Silver–Gold data flow pipeline
  • Delta tables & auto-loader ingestion
  • ML integration for recommendation models

Impact

3× improvement in analytics processing Faster experimentation for data science Better personalization & customer intelligence
Case Study

Snowflake Lakehouse for a Financial Services Enterprise

The client wanted high-governance, secure, scalable architecture with strong compliance. What we delivered:

Solution

  • Snowflake multi-cluster architecture
  • Data sharing & zero-copy cloning
  • Governance, lineage & RBAC framework
  • Full migration from on-prem DW to lakehouse

Impact

40% reduction in data engineering overhead Strong audit & compliance posture Unified analytics & reporting ecosystem
Case Study

Enterprise Lakehouse Modernization for a Healthcare Network

The organization needed AI-ready foundation for clinical, operational, and IoT data. What we delivered:

Solution

  • Healthcare-compliant lakehouse (HIPAA-ready)
  • IoT streaming pipeline with Delta
  • Enterprise cataloging and DQ framework
  • Secure role-based zones & lineage

Impact

Better clinical insights & operational efficiency Accelerated ML model development Improved data reliability & governance

Technology Stack

SkillzRevo implements lakehouses using:

Lakehouse Platforms: Databricks • Snowflake • Delta Lake • Iceberg • Hudi • Synapse • BigQuery
Streaming & Processing Engines: Apache Spark • Kafka • Flink • dbt • Airflow
Cloud Platforms: AWS (S3, Glue, EMR) Azure (Synapse, ADLS, Databricks) Google Cloud (BigQuery, Dataproc, GCS)
Governance Tools: Unity Catalog • Purview • Alation • Collibra

Our partnerships ensure scalable, governed, high-performance lakehouse implementations.

Market Intelligence

Lakehouse adoption is growing 35% YoY across global enterprises.

  • Delta/Iceberg/Hudi architectures reduce data duplication by up to 60%.
  • Organizations using lakehouses accelerate AI adoption 2–3× faster.
  • Snowflake’s consumption model cuts data engineering costs significantly.
  • Lakehouses unify BI, AI, ML & real-time workloads—reducing complexity.

"The lakehouse is becoming the new standard for enterprise data ecosystems."

Meet Our Experts

Mr. Ashish Tiwari
8+ Years
500+ Students

Mr. Ashish Tiwari

Mr. Ashish Tiwari has done his Masters in Al&ML. He is a Data Scientist having experience of over 8+ years. He has trai…

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Usha Nandhini S
9+ Years
300+ Students

Usha Nandhini S

With over 9 years of expertise in computer programming and 2+ years of specialized focus in Data Science, AI, Machine L…

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Mr. Uttam
12+ Years
400+ Students

Mr. Uttam

Uttam Grade is a seasoned Data Scientist and Data Science Trainer with extensive expertise in delivering advanced …

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Dr Lakshmi Sree Kailasam
16+ Years
800+ Students

Dr Lakshmi Sree Kailasam

Dr. Lakshmi has over 16+ years of experience in diverse domains, including ISO, Scrum, Agile and Project Managemen…

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Mrs. Zainab Sidddiqui
16+ Years
800+ Students

Mrs. Zainab Sidddiqui

Zainab Siddiqui is a driven and results-oriented Machine Learning Engineer specializing in computer vision, NLP, an…

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Dr. Santosh Srivastava
12+ Years
200+ Students

Dr. Santosh Srivastava

Dr Santosh Srivastava is a PhD holder and has more than 12 years of experience in Training, Research, and Consultancy a…

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Mr. Arihant Jain
8+ Years
200+ Students

Mr. Arihant Jain

Mr Arihant is an accomplished Senior Data Scientist with over 12+ years of valuable experience in Machine Learning, Dee…

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Mr. Bidhan Sen
8+ Years
200+ Students

Mr. Bidhan Sen

Bidhan Sen is an accomplished data analytics professional with a wealth of experience across tools like Power BI, Table…

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Mr. Rohan Dixit
10+ Years
200+ Students

Mr. Rohan Dixit

Rohan Dixit is an experienced Data Science Consultant with deep expertise in Python, SQL, Power BI, and advanced analyt…

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