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Big Data Integration & ETL Modernization

Modernize Legacy ETL, Unify Data Pipelines & Build Scalable, High-Performance Integration Frameworks

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 expand digitally, data moves across hundreds of applications, databases, APIs, devices, and third-party platforms. Legacy ETL systems—built on traditional warehouses or on-premise tools—struggle with modern needs such as real-time processing, scalability, cloud integration, complex transformations, and AI-driven workloads. SkillzRevo’s Big Data Integration & ETL Modernization service helps organizations transform outdated ETL processes into modern, cloud-native, scalable data pipelines that support batch, micro-batch, streaming, and event-driven architectures. We enable enterprises to unify ingestion, enhance quality, simplify orchestration, and build a future-ready integration ecosystem that powers analytics, reporting, AI, ML, and GenAI. We work with engineering teams, data platform teams, BI units, digital teams, and enterprise architects to deliver modernized pipelines tailored for high efficiency, low latency, resilience, and enterprise governance.

"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

Legacy ETL to Modern ELT/ETL Migration Move from Informatica, SSIS, Talend, DataStage, or custom scripts to dbt, Spark, Glue, Dataflow, Synapse, or modern ELT tools.

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

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Cloud-Native Pipeline Modernization Develop scalable ingestion pipelines on AWS, Azure, GCP using serverless and distributed architectures.

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

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API, File, Streaming & Database Ingestion Support ingestion from APIs, SaaS apps, ERP/CRM, Kafka, flat files, XML/JSON, IoT feeds, and enterprise data streams.

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

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ETL/ELT Pipeline Optimization & Re-Engineering Refactor, modularize, and optimize transformations for speed, cost, parallelism, and maintainability.

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

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Orchestration & Workflow Automation Implement Airflow, Azure Data Factory, AWS Glue Workflows, Prefect, Dagster, and custom orchestration engines.

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

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Data Quality, Validation & Observability Apply DQ rules, validations, audits, lineage, and pipeline observability using tools like Great Expectations and Monte Carlo.

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

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Metadata Management & Enterprise Catalog Integration Enable searchable, governed metadata catalogs integrated with Purview, Collibra or Unity Catalog.

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

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Governed, Secure, Auditable Integration Framework Implement RBAC, encryption, versioning, access control, error-handling, retries, and auto-scaling capabilities.

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

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Impact

Real World Results

Case Study

ETL Modernization for a Global Retail Chain

The retailer relied on complex, slow legacy ETL tools that delayed insights and reports. What we delivered:

Solution

  • Migration to Spark & dbt-based modern pipelines
  • Event-driven ingestion for POS & online streams
  • Airflow orchestration with automated quality checks
  • Centralized metadata & governance

Impact

45% faster pipeline execution 60% reduction in ETL maintenance effort More reliable reporting & analytics
Case Study

Data Integration Modernization for a Financial Services Company

The organization needed unified ingestion across 40+ financial systems. What we delivered:

Solution

  • Real-time & batch ingestion frameworks
  • Secure ingestion of core banking & CRM data
  • Schema evolution & DQ automation
  • Cloud-native pipelines on AWS Glue

Impact

Improved regulatory reporting accuracy Stronger lineage & audit trails Faster integration for new data sources
Case Study

API & Streaming Integration for a Manufacturing Enterprise

The company needed a unified view of supply chain, inventory, and IoT data. What we delivered:

Solution

  • Kafka + Spark streaming ingestion
  • API-driven integration for ERP, MES & vendor systems
  • Data quality layer & transformation logic
  • Integration with Snowflake lakehouse

Impact

30% more accurate inventory forecasting Better supply chain visibility Improved operations intelligence

Technology Stack

SkillzRevo delivers modern ETL & integration pipelines using:

Big Data & Cloud Integration Tools: Spark • Databricks • Snowflake • dbt • Glue • Dataflow • Synapse • EMR
ETL/ELT Platforms: Informatica Cloud • Talend • Matillion • Fivetran • Airbyte
Orchestration Tools: Apache Airflow • Azure Data Factory • Prefect • Dagster • Glue Workflows
Quality & Observability Tools: Great Expectations • Monte Carlo • Soda • Collibra • Purview

These platforms ensure scalable, governed, and high-performance integration ecosystems.

Market Intelligence

70% of legacy ETL pipelines fail to meet modern cloud and real-time requirements.

  • ETL modernization improves data engineering productivity by 30–50%.
  • Modern ELT (dbt) adoption has grown exponentially across enterprises.
  • Streaming ETL adoption has increased 5× due to real-time analytics needs.
  • Data observability reduces pipeline failures by 40–60%.
  • Cloud-native integration reduces infrastructure & maintenance cost significantly.

"Modern ETL pipelines are essential for AI, analytics, BI, and operational intelligence."

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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