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Data Engineering

Overview

At Neurealm, our Data Engineering services lay the groundwork for unified reporting, advanced analytics, AI, and GenAI. We design and build robust data platforms that collect, transform, and deliver data seamlessly—empowering your teams with actionable insights to drive smarter decisions and fuel innovation.

Offerings

Infusing AI at every level

  • Schema Discovery: AI-driven auto-detection for rapid data onboarding
  • Schema Drift Alerting: Continuous AI monitoring flags schema changes, preventing pipeline errors
  • Data Correction: Intelligent AI fixes inconsistencies, ensuring data accuracy
  • Schema Versioning: Automated AI version control simplifies schema evolution
  • Data Classification: AI categorizes of data for optimized security and governance
  • Self-Healing: AI ensures pipeline resilience with automated recovery
  • Data Format Conversion: AI intelligently transforms data for seamless integration
  • GenAI Code Generation: AI accelerates development with automated code creation
  • Anomaly Detection: AI identifies data irregularities for proactive issue resolution
  • De-duping & Standardization: AI ensures data consistency and eliminates redundancy
  • Data Pipelines & Query Optimization: AI enhances data flow and query performance
  • Auto-Scaling Suggestions: AI provides intelligent resource scaling for optimal efficiency

Outcomes and Benefits

Streamlined Data Processes
Streamlined Data Processes
Business and Technology Scalability & Flexibility
Business and Technology Scalability & Flexibility
Enhanced Decision Making
Enhanced Decision Making
Faster Time to Market
Faster Time to Market
Platform Cost Reduction
Platform Cost Reduction

Leveraging Leading-Edge Technologies:

Databricks
Databricks
Azure (ADF, Microsoft Fabric)
Azure (ADF, Microsoft Fabric)
AWS (Glue, Redshift, EMR)
AWS (Glue, Redshift, EMR)
GCP (Dataflow, BigQuery)
GCP (Dataflow, BigQuery)
Snowflake
Snowflake
Talend
Talend
Informatica
Informatica
Airflow, Kafka
Airflow, Kafka

Success Stories

Ready to build a data foundation that drives innovation?