Data Analytics

  • Data Platforms & Warehouses

    Modern data lakes/warehouses (BigQuery, Snowflake, Redshift, Postgres) with reliable ELT/ETL and ingestion.

  • BI & Dashboards

    Executive and operational dashboards (Looker, Power BI, Superset): trusted KPIs, drilldowns, self-service.

  • Modeling & Semantics

    Dimensional modeling, semantic layers, metrics catalogs, and versioned transformations with dbt.

  • Governance & Data Quality

    Cataloging, lineage, PII handling, validation tests, SLAs/SLOs, and privacy/compliance readiness.

  • ML/AI Enablement

    Feature stores, model serving, evaluation, and MLOps—aligned to measurable mission outcomes.

  • Streaming & Eventing

    Real-time ingestion and processing (Kafka, Kinesis, Pub/Sub) with event-driven architectures.