Data Integration & ETL/ELT Engineering
We design, automate, and manage data pipelines across cloud and on-premises systems.
- Azure Data Factory orchestrations
- Databricks ETL/ELT with PySpark & Delta Lake
- Metadata-driven ingestion frameworks
- CDC pipelines & incremental data processing
- Data Lakehouse multi-layer architecture (Raw → Bronze → Silver → Gold)
Cloud & Hybrid Migration
We support seamless data migration from legacy systems to modern cloud platforms.
- On-premises to Azure / Google Cloud / OCI migrations
- Database consolidation & modernization
- Zero-downtime replication strategies
- Lift-and-shift and re-engineering data workloads
Data Warehousing & Modeling
Build analytics-ready data warehouses optimized for reporting, BI, and AI.
- Microsoft Fabric Lakehouse / Warehouse implementations
- Dimensional modeling (Kimball / Inmon)
- dbt modeling & transformations
- Data marts, star schemas, semantic layer creation
Databricks Engineering
Accelerate your data workflows with our Databricks and Delta Lake expertise.
- Delta Lake architecture & optimization
- Auto Loader ingestion frameworks
- Streaming pipelines (Structured Streaming)
- Unity Catalog governance setup
- Performance tuning & cost optimization
Data Quality & Validation
Ensure reliable, validated, business-ready data at every stage of your pipeline.
- Great Expectations setup & automated tests
- Schema enforcement & drift detection
- Master data cleanup & standardization
- Data quality KPIs & health scoring
Automation & Workflow Engineering
We automate repetitive tasks and data workflows using modern scripting and orchestration tools.
- Python automation (data tasks, monitoring, notifications)
- Airflow DAGs for scheduled pipelines
- CI/CD for ADF, Databricks, dbt, Fabric
- Automated DDL deployment frameworks
Analytics Enablement
We prepare data environments for dashboards, BI, and advanced analytics.
- Power BI & Fabric semantic model optimization
- Direct Lake / DirectQuery / Import strategy design
- Performance tuning, aggregations, RLS/Governance
Data Cleanup & Standardization
We transform messy datasets into well-structured, validated data assets.
- Removing duplicates, errors, inconsistent records
- Format harmonization & normalization
- Preparation for analytics, ML, DWH ingestion
Consulting & Architecture Advisory
We help organizations design scalable data platforms and integration architectures.
- Azure Data Platform architecture design
- Best practices for Delta Lake & Lakehouse
- Cost governance & cloud optimization
- Migration strategy, roadmap building, readiness assessment