Data Engineering Services
Design and build scalable data pipelines and warehousing solutions using AWS, Azure, and modern data tools.
Timeline: Project Based
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Real-time & Batch Pipelines
Process data efficiently with Spark, Glue, Kafka, and other distributed tools.
ETL/ELT Orchestration
Design and manage ETL/ELT workflows on AWS Glue, Azure Data Factory, and Snowflake.
Data Lakes & Warehouses
Build scalable, query-optimized data lakes and warehouses on Redshift, Snowflake.
API & DB Integrations
Integrate structured/unstructured data from third-party APIs and legacy systems.
Monitoring & Alerting
Track pipeline health using tools like CloudWatch, Prometheus, and custom alerts.
Why Choose This Service
Scalable and efficient data processing
Faster business insights through data modeling
Cloud-native optimized architecture
Improved data governance and quality control