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Data Engineering & Analytics

From Raw Data to Revenue — Build the Data Foundation That Powers Everything.

Data is your most valuable asset — but only when it's accessible, trusted, and actionable. IntraCodeX architects modern data platforms that bring together real-time streaming, historical analytics, and AI-ready data stores, enabling your teams to make faster, smarter decisions.

Core Offerings

Data Platform Architecture (Lakehouse, Warehouse)

The modern data stack — designed for scale, speed, and self-service.

  • Lakehouse architecture on Databricks, Snowflake, or Delta Lake
  • Cloud data warehouse migration (Redshift, BigQuery, Synapse)
  • Data mesh and data product design patterns
  • Medallion architecture (Bronze/Silver/Gold) implementation
  • Storage optimization and query performance tuning

ETL / ELT Pipelines

Move, transform, and land data reliably — at any volume.

  • Batch and micro-batch pipeline development (dbt, Spark, Glue)
  • Cloud-native ELT tooling (Fivetran, Airbyte, Matillion)
  • Data transformation testing and validation frameworks
  • Incremental loading strategies and CDC (Change Data Capture)
  • Pipeline monitoring, alerting, and SLA management

Real-Time Data Streaming

Instant insights from live data — at millisecond latency.

  • Apache Kafka and Confluent Platform architecture
  • AWS Kinesis, Azure Event Hubs, GCP Pub/Sub deployment
  • Stream processing (Apache Flink, Spark Streaming)
  • Event-driven microservices integration
  • Real-time analytics dashboards and alerting pipelines

Data Governance & Quality

Trust your data — every record, every time.

  • Data catalog implementation (Collibra, Alation, DataHub)
  • Data lineage and impact analysis automation
  • Data quality rule frameworks and profiling (Great Expectations, Soda)
  • PII classification and data privacy compliance (GDPR, CCPA)
  • Master Data Management (MDM) strategy and tooling

BI & Dashboarding (Power BI, Tableau)

Turn numbers into narratives your executives will act on.

  • Power BI and Tableau enterprise rollout and governance
  • Self-service analytics enablement and training
  • Executive KPI dashboards and operational scorecards
  • Semantic layer design and certification
  • Embedded analytics integration into applications

Data Modernization

Retire legacy systems — without losing institutional knowledge

  • Legacy EDW migration to cloud-native platforms
  • Data model re-engineering and normalization
  • COBOL/mainframe data extraction and transformation
  • Modernization roadmap with zero-disruption migration waves
  • Hybrid operation during transition periods

Ready to talk about data engineering & analytics?

Book a consultation and we'll walk through how this fits your stack, timeline, and budget.

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