Data Engineering

Build robust data pipelines, warehouses, and analytics platforms. Our data engineers turn raw data into actionable business intelligence.

Core Capabilities

Data Pipelines

Reliable data movement and transformation at scale.

ETL/ELT pipeline design
Apache Spark processing
Kafka streaming
Airflow orchestration

Data Warehousing

Modern cloud data platforms for analytics.

Snowflake implementation
Databricks lakehouse
BigQuery & Redshift
Data modeling & dbt

Analytics & BI

Turn data into insights with visualization and reporting.

Tableau dashboards
Power BI reports
Looker/Mode analytics
Self-service enablement

What We Deliver

Data Platform Build

End-to-end data platform on Snowflake, Databricks, or cloud-native tools.

Pipeline Development

Batch and streaming pipelines with monitoring and alerting.

Data Migration

Migrate from legacy systems to modern cloud data platforms.

BI Implementation

Dashboard and reporting solutions with self-service capabilities.

Roles We Provide

Data Engineers

Pipeline builders skilled in Spark, Kafka, Airflow, and cloud data tools.

Data Architects

Design data models, governance frameworks, and platform architectures.

Analytics Engineers

dbt specialists who build reliable, tested data transformations.

Sample Outcomes

Retail Data Platform

Built Snowflake-based analytics platform processing 1B+ events/day with real-time dashboards.

1B+ events/day
Real-time analytics

Healthcare Data Lake

Created Databricks lakehouse integrating 50+ data sources with HIPAA compliance.

50+ data sources
HIPAA compliant

Marketing Analytics

Unified marketing data from 20+ channels enabling attribution modeling and ROI tracking.

20+ channels unified
25% improved ROI tracking

Technology Stack

Apache Spark Apache Kafka Apache Airflow dbt Snowflake Databricks BigQuery Redshift Delta Lake Fivetran Airbyte Tableau Power BI Looker Metabase Python SQL Pandas PySpark AWS Glue