Premium Consulting

Scalable Cloud Data Platforms (AWS, Azure, GCP)

Design, Deploy & Optimize Enterprise-Grade Cloud Data Platforms for Analytics, AI & Real-Time Intelligence

Global Reach

Strategies adapted for international markets.

Rapid Deployment

Accelerated timelines for quicker ROI.

Risk Mitigation

Comprehensive compliance and security.

Overview

Strategic Innovation

As enterprises move away from legacy on-premises data systems, cloud data platforms have become the foundation for modern analytics, advanced AI, GenAI, real-time processing, and enterprise digital transformation. However, successful cloud adoption requires the right architecture, governance, cost controls, security frameworks, and scalable engineering practices. SkillzRevo’s Scalable Cloud Data Platforms service helps organizations build high-performance data ecosystems on AWS, Azure, and Google Cloud. We design cloud-native platforms that support structured, semi-structured, and unstructured data while providing the scalability, elasticity, and governance needed for large enterprise operations. We work with CIOs, cloud architects, data platform teams, engineering leaders, and analytics organizations to build cloud data platforms that are future-ready, secure, compliant, cost-efficient, and optimized for AI/ML workloads.

"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

Cloud Data Platform Architecture & Blueprinting Design multi-zone, multi-layer cloud architectures including ingestion, storage, processing, governance, and consumption layers.

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

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Data Lake, Data Warehouse & Lakehouse Setup Implement cloud-native platforms such as Snowflake, BigQuery, Redshift, Synapse, Databricks, and Delta/Iceberg.

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

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Modern Data Ingestion Frameworks Build scalable ingestion pipelines using Glue, Dataflow, Data Factory, EMR, Kinesis, Event Hub, Pub/Sub and REST connectors.

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

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Serverless & Distributed Compute Engineering Leverage Lambda, Azure Functions, Cloud Run, Databricks clusters, autoscaling pools, and Kubernetes.

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

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Cloud Security, Compliance & Access Governance Implement IAM, RBAC, encryption, VPC isolation, DLP, and industry compliance controls (SOC2, GDPR, DPDP, HIPAA).

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

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Data Quality, Lineage & Metadata Integration Enable observability, lineage tracking, DQ rules, and metadata management integrated with Purview, Collibra, or Unity Catalog.

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

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AI, ML & GenAI Platform Enablement Prepare cloud platforms for data science, MLOps, and LLM workloads with managed services (Sagemaker, Vertex AI, Azure ML).

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

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Cost Optimization & Performance Tuning Optimize compute, storage, query performance, caching, workload isolation, and cost governance through FinOps.

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

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Impact

Real World Results

Case Study

Cloud Data Platform Migration for a BFSI Enterprise

The bank struggled with on-prem limitations and required a scalable, secure cloud platform. What we delivered:

Solution

  • AWS Redshift + S3 data lake architecture
  • Secure ingestion from banking systems
  • IAM governance & encryption
  • FinOps cost optimization model

Impact

50% improvement in analytical query performance Stronger compliance and security posture Scalable storage & compute for future AI workloads
Case Study

Azure Data Platform for a Global Manufacturing Company

The client needed unified visibility across supply chain, operations, and IoT data. What we delivered:

Solution

  • Azure Data Lake, Synapse analytics
  • Streaming ingestion via Event Hub
  • Automated ETL pipelines using ADF
  • Real-time dashboards for operational KPIs

Impact

3× faster decision-making Increased operational transparency Improved forecasting accuracy
Case Study

Google Cloud Data Platform for a Digital Commerce Brand

The brand required high-performance real-time analytics and ML integration. What we delivered:

Solution

  • BigQuery warehouse with GCS lake
  • Pub/Sub + Dataflow streaming pipelines
  • Integration with Vertex AI
  • Enterprise cost control and DQ framework

Impact

70% reduction in analytics latency Real-time insights for marketing & personalization Lower TCO than legacy environment

Technology Stack

SkillzRevo builds enterprise cloud data platforms using:

AWS Ecosystem: S3 • Redshift • Glue • EMR • Kinesis • Athena • Lambda • Lake Formation
Azure Ecosystem: ADLS • Synapse • Databricks • ADF • Event Hub • Purview • Azure ML
Google Cloud Ecosystem: BigQuery • GCS • Dataflow • Pub/Sub • Dataproc • Vertex AI
Modern Data Tools: Snowflake • Databricks • dbt • Airflow • Terraform • Great Expectations

These tools deliver high scalability, performance, and enterprise governance.

Market Intelligence

Cloud adoption for analytics is growing 30% year on year.

  • Cloud-native platforms reduce infrastructure overhead by 40–60%.
  • BigQuery, Redshift & Synapse deliver high concurrency at lower cost.
  • Serverless architectures reduce maintenance & improve scalability dramatically.
  • Cloud ML/AI adoption is 3× faster when built on modern cloud data platforms.
  • Compliance & security frameworks are now mandatory for enterprise-scale data platforms.

"Cloud data platforms are now the backbone of digital transformation, AI, and modern analytics."

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…

Data ScienceAIMachine Learning
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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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