Enterprise Data Engineering

Transform data chaos
into actionable insights

Build scalable data pipelines, warehouses, and real-time processing systems that power analytics, ML models, and business intelligence.

Our capabilities

End-to-end data infrastructure and pipeline development

ETL/ELT Pipeline Development

Design and build robust data pipelines that extract, transform, and load data from multiple sources with monitoring and error handling.

Batch & real-time data ingestion
Data validation & quality checks
Incremental loading strategies
Orchestration with Airflow/Prefect
Error handling & recovery

Data Warehouse Design

Architect scalable data warehouses optimized for analytics with dimensional modeling and efficient query performance.

Star & snowflake schema design
Data modeling & normalization
Slowly changing dimensions (SCD)
Partitioning & indexing strategies
Query optimization

Real-Time Data Processing

Build streaming data pipelines for real-time analytics, monitoring, and event-driven architectures.

Kafka/Pulsar streaming pipelines
Stream processing (Flink, Spark)
Event-driven architectures
Real-time aggregations
Low-latency data delivery

Analytics Dashboards

Create interactive dashboards and reporting systems that empower data-driven decision making across your organization.

BI tool integration (Tableau, Looker)
Custom dashboard development
Self-service analytics
Automated reporting
Data visualization best practices

Technology stack

Modern data infrastructure tools and platforms

Databases

PostgreSQLSnowflakeBigQueryRedshiftClickHouse

Processing

Apache SparkApache FlinkdbtDatabricksDuckDB

Streaming

Apache KafkaPulsarRabbitMQAWS KinesisRedis

Orchestration

Apache AirflowPrefectDagsterMageTemporal

Our process

Systematic approach to building reliable data infrastructure

01

Assessment & Planning

Audit current data architecture, identify pain points, and design scalable solutions.

02

Architecture Design

Define data models, pipeline architecture, and technology stack with documentation.

03

Implementation

Build pipelines with testing, monitoring, and comprehensive documentation.

04

Operations & Optimization

Continuous monitoring, performance tuning, and cost optimization.

Ready to build robust data infrastructure?

Let's discuss your data engineering needs and design a scalable solution for your business.