Data Engineering
We design and implement scalable data infrastructure that transforms raw data into valuable business assets. Our data engineering solutions enable organizations to collect, store, process and analyze data efficiently across the enterprise.
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Schedule a quick meeting to discuss your requirements, explore possible solutions, and find the best way to move forward together.
Data Pipeline Development
ETL/ELT pipelines using Apache Spark / Airflow and cloud native services for automated data ingestion from diverse sources.
Data Warehouse & Lake Architecture
Modern data lakes, warehouses and lakehouse implementations on Snowflake, Databricks and cloud platforms.
Real Time Data Streaming
Apache Kafka and Spark Streaming for instant insights and event-driven architectures with sub-second latency.
Data Quality & Governance
Data quality frameworks, master data management, cataloging and governance policies for accuracy and compliance.
Featured Projects
Enterprise Data Lake Implementation
Scope
Built a centralized data lake on Azure integrating POS, inventory, CRM and e-commerce data with real-time processing capabilities.
Outcome
Reduced data processing time from 24 hours to 15 minutes, enabling same-day inventory optimization.
Automated Insights Generation and Summarization
Scope
Implemented Kafka-based streaming platform processing 2M+ transactions/day with real time fraud detection and reporting.
Outcome
Achieved sub-second latency for fraud alerts, preventing $12M in fraudulent transactions annually.
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Why Choose Us
- Microsoft Gold Partner for 30 years
- Certified experts in Snowflake / Databricks & Cloud platforms
- Proven track record in enterprise data transformations
- End-to-End Delivery from architecture to operations
- Integration with Microsoft Power Platform & Power BI
- 24/7 Support & Managed services available