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Data Engineering Services

Build robust data pipelines and modern data infrastructure that powers your AI and analytics initiatives.

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Wherever you are, we can offer a complete solution

Build Scalable Data Infrastructure

Design and implement modern data pipelines that handle batch and real-time data processing. Our solutions scale with your business and integrate seamlessly with existing systems.

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Our Data Engineering development process

Understanding Business Needs

Workshops and discovery calls to align data strategy with business objectives.

Analysis of Data Sources

Identify structured and unstructured data sources across your organization.

Building Data Lake

Implementation using Hadoop, S3, Azure Data Lake, or Snowflake.

Designing Data Pipelines

Critical activity turning raw data into actionable information.

Automation and Deployment

DevOps strategy for CI/CD and infrastructure as code.

Testing and Monitoring

DevOps automation with comprehensive testing and observability.

Our Data Engineering Tools and Technologies

We collaborate with leading cloud solution providers including AWS, Azure, and GCP.

Hadoop
Apache Spark
Apache Kafka
Databricks
Snowflake
dbt
Cloudera
Airbyte
Apache Airflow
AWS Glue
Azure Data Factory
Google BigQuery

Industry expertise

Investment & Financial

Data Engineering for Financial Services

  • Market Data Infrastructure
  • Trading Systems Integration
  • Risk Management Pipelines
  • Regulatory Reporting Automation

Hear it from our clients!

"The team took time to understand what we needed and delivered a robust data infrastructure."

Price EllingtonPrivate Jet Services

"Addepto Team got the job done. Our data pipelines now run flawlessly."

Steven KinderPaperPlanes