Data Engineering

Data Engineering Dubai
Raw Data In. Business Intelligence Out.

You have data everywhere — databases, APIs, spreadsheets, third-party tools. But no single source of truth. Reports are manual, dashboards are outdated, and nobody trusts the numbers. We build the data infrastructure that makes your data useful.

Also available: AI integration, database optimization, and cloud migration services.

Fix My Data

What We Build

Data Engineering Services

From raw data to actionable insights — engineered for scale.

ETL/ELT Pipelines

Automated data pipelines that extract from sources, transform data, and load into warehouses. Scheduled, reliable, monitored.

Data Warehouses

Snowflake, BigQuery, Redshift — schema design, optimization, and management. Fast queries for BI and analytics.

Data Lakes

Cheap raw data storage on S3, ADLS, or GCS. Store everything, analyze later. Schema-on-read flexibility.

Real-Time Streaming

Kafka, Kinesis, Flink — real-time data processing for dashboards, fraud detection, and event-driven systems.

Data Modeling

Dimensional modeling, data vault, OBT — the right model for your analytics use case. Clean, documented, maintainable.

Data Quality

Validation, monitoring, alerting, and governance. Data you can trust. Automated quality checks at every pipeline stage.

Our Process

How We Build

From data chaos to data clarity — systematically, reliably.

01

Data Assessment

Audit your current data landscape: sources, volume, quality, existing pipelines, and analytics needs.

02

Architecture Design

Design the target data architecture: warehouse/lake schema, pipeline orchestration, quality framework, BI layer.

03

Pipeline Development

Build ETL/ELT pipelines with Airflow, dbt, or Spark. Incremental loads, error handling, retry logic, monitoring.

04

Warehouse Implementation

Deploy and optimize the data warehouse. Schema design, indexing, partitioning, and materialized views.

05

BI & Analytics Layer

Connect dashboards, reports, and analytics tools. Looker, Tableau, Power BI, or custom analytics.

06

Monitor & Optimize

Pipeline monitoring, cost optimization, data quality alerts, and ongoing maintenance.

Data engineering pairs well with AI integration for ML pipelines. Optimize databases with database optimization. Build APIs for data access with API development. Deploy on cloud with cloud migration. Automate with DevOps consulting.

Knowledge Base

Frequently Asked Questions

FAQ

Common Questions

ETL/ELT pipeline development, data warehouse design and implementation, data lake architecture, real-time streaming (Kafka, Kinesis), data modeling, data quality frameworks, BI infrastructure, and data platform modernization. We work with Snowflake, BigQuery, Redshift, Spark, Airflow, and most data stack tools.

ETL pipeline (single source): 2-4 weeks. Data warehouse design: 4-8 weeks. Full data platform (pipelines, warehouse, BI, monitoring): 2-4 months. Real-time streaming infrastructure: 4-12 weeks. We provide a timeline after assessing your data landscape.

Data warehouse: structured, processed data optimized for SQL queries and BI reporting (Snowflake, BigQuery, Redshift). Data lake: raw, unstructured data stored cheaply for exploration and machine learning (S3, ADLS, GCS). Modern architectures use both — data lake for raw storage, warehouse for curated analytics. We design the right architecture for your needs.

Yes. We work with Airflow, dbt, Spark, Kafka, Flink, Snowflake, BigQuery, Redshift, PostgreSQL, MongoDB, and most data tools. We optimize existing pipelines or build new ones alongside your current infrastructure.

Yes. We build real-time data pipelines using Apache Kafka, AWS Kinesis, Apache Flink, and Spark Streaming. Use cases: real-time dashboards, fraud detection, live recommendations, IoT data processing, and event-driven architectures.

ETL pipeline development: AED 20,000-60,000. Data warehouse setup: AED 40,000-120,000. Full data platform: AED 150,000-500,000+. Real-time streaming: AED 80,000-300,000. Cost depends on data volume, number of sources, complexity, and real-time requirements.

Your Data.
Actually Useful.

Stop drowning in data. Build the infrastructure that turns raw data into business intelligence.

Get in Touch

Tell us about your project

  • We respond within 12 hours
  • NDA available on request
  • Dedicated consultant specialists

WhatsApp Us

+971 54 483 2290

Direct Email

[email protected]

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