Transform fragmented data streams into unified, real-time enterprise intelligence. We build high-throughput ETL/ELT pipelines, zero-latency lakehouses, and executive BI dashboards engineered for petabyte scale.
End-to-end data engineering engineered to ingest, transform, clean, and visualize mission-critical metrics.
Unify structured transaction databases and unstructured telemetry logs into a single high-performance cloud storage environment powered by Delta Lake, Snowflake, or Databricks.
Replace brittle manual scripts with resilient, self-healing DAG workflows managed by Apache Airflow and dbt transformation layers with continuous data freshness guarantees.
Empower C-suite leaders and operations teams with real-time, interactive dashboards. Track revenue metrics, customer retention cohorts, and supply chain telemetry at a glance.
Ensure full compliance with SOC 2 Type II, ISO 27001, and GDPR guidelines. Track lineage, audit user query logs, and encrypt sensitive PII across all database environments.
Battle-tested engineering capabilities tailored to enterprise scale and high-frequency streaming workloads.
Designing zero-latency cloud warehouse architectures on Snowflake, Databricks, and Google BigQuery with automated clustering and low-cost cold storage.
Building fault-tolerant event streaming pipelines with Apache Kafka, Spark, and Flink to process millions of transactions per minute with zero data loss.
Engineering custom executive dashboards, real-time KPI tracking tools, and automated scheduled reporting systems for key business stakeholders.
Structuring modular, version-controlled SQL transformations, automated data testing rules, and documentation catalogs using dbt Cloud.
Deploying automated data validation checks, schema drift detection, PII masking rules, and role-based access security across all datasets.
Engineering low-latency feature stores (Feast, Hopsworks) that serve pre-processed features directly to machine learning inference models in production.
We build and maintain enterprise data architectures using top-tier industry open-source and cloud infrastructure.
Wraxel engineered a real-time streaming pipeline capturing telemetry from 50,000+ deployed smart hardware sensors. By replacing an overloaded legacy SQL setup with Kafka, Spark, and Snowflake, query times dropped from 45 minutes to under 1.2 seconds.
Request Case Study BriefingFrom initial database schema auditing to high-availability deployment and automated alerting.
Cataloging relational DBs, API endpoints, log files, and establishing data SLAs and latency requirements.
Structuring Bronze (raw), Silver (cleansed), and Gold (business marts) data layers on cloud storage.
Writing resilient Airflow DAGs and dbt transformation models with continuous automated data testing.
Publishing low-latency executive dashboards, configuring Slack alerts, and enforcing RBAC permissions.
Everything you need to know about our Data Engineering & Business Intelligence services.