Data Engineering
Build robust data pipelines, scalable data platforms, and efficient processing systems to transform raw data into valuable business insights.
Modern Data Architecture
Enterprise data lakes and data warehouse implementation with real-time processing integration.
ETL/ELT Pipelines
Advanced ETL/ELT pipelines using Azure Data Factory, Databricks, and Apache Spark.
Real-time Processing
High-performance streaming data processing with Azure Stream Analytics and Kafka.
Data Quality & Governance
Comprehensive data quality frameworks and governance policies implementation.
Big Data Solutions
Enterprise Hadoop, Spark, and cloud-native big data processing solutions.
Data Integration
Seamless data integration across multiple sources and systems with enterprise security.
Data Pipeline Development
Build efficient ETL/ELT processes to move and transform data from multiple sources into your data warehouse or data lake.
- Azure Data Factory pipeline orchestration
- Databricks and Spark processing
- Custom transformation logic
- Error handling and monitoring
Cloud Data Architecture
Design scalable data architectures using cloud platforms, focusing on performance, cost optimization, and maintainability.
- Azure Synapse Analytics implementation
- Data Lake Storage optimization
- Serverless and containerized solutions
- Security and compliance frameworks
Our Technology Stack
Azure Data Factory
Data Integration
Azure Databricks
Analytics Platform
Azure Synapse
Data Warehouse
Apache Spark
Big Data Processing
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