Overview
In today’s data-driven environment, organizations rely on fast, accurate, and unified data to drive decisions. Our Data Integration & ETL Services are designed to streamline data movement, transform raw information into actionable insights, and ensure seamless connectivity across your enterprise systems. We help you eliminate data silos, improve data quality, and create scalable, automated pipelines that support analytics, BI, AI, and operational intelligence.
Our Capabilities
End-to-End ETL/ELT Pipeline Development
We design, build, and optimize pipelines that extract, transform, and load data from diverse sources into your preferred target systems.
Capabilities include:
- Batch and real-time pipeline engineering
- ETL/ELT for cloud, on-prem, and hybrid architectures
- Data cleansing, standardization, and enrichment
- Schema mapping and metadata management
Enterprise Data Integration
We help organizations connect disparate systems to create a single, trusted data ecosystem.
- Integration across ERP, CRM, databases, apps, APIs, and third-party platforms
- Cloud data integration (Azure, AWS, GCP)
- Event-driven and messaging-based integration
- API-led connectivity and microservices-based data exchange
Cloud Migration & Modernization
Accelerate your cloud transformation journey with seamless data movement and modernization.
- Legacy ETL migration to modern cloud platforms
- Re-architecting pipelines for performance and scale
- Automated workload migration
- Cloud-native data integration leveraging Azure Data Factory, AWS Glue, GCP Dataflow, Snowflake, Databricks, and more
Real-Time Data Streaming
Enable real-time analytics and operational intelligence with streaming data solutions.
- Event processing using Kafka, Azure Event Hubs, AWS Kinesis
- Real-time ETL for IoT, logs, transactions, and application events
- Stream-processing frameworks like Apache Flink & Spark Streaming
Data Quality & Governance
Your analytics are only as good as the quality of your data.
We provide:
- Automated data validation and quality rules
- Master Data Management (MDM) integration
- Lineage tracking and metadata cataloging
- Compliance with regulatory standards (GDPR, HIPAA, SOC2, etc.)
Performance Optimization & Automation
Improve productivity, reduce costs, and maximize efficiency.
- Pipeline orchestration and scheduling
- Job performance tuning
- Error handling and automated recovery workflows
- Monitoring and observability for ETL operations
Technologies We Work With
- Cloud Platforms: Azure, AWS, GCP
- ETL/ELT Tools: Informatica, Talend, Azure Data Factory, AWS Glue, SSIS, Matillion, DBT, Pentaho
- Data Warehouses: Snowflake, BigQuery, Redshift, Synapse, Databricks Delta Lake
- Streaming & Messaging: Kafka, MQ, Flink, Kinesis, Event Hubs
- Databases: SQL Server, Oracle, MySQL, PostgreSQL, MongoDB, Cassandra