Data Pipeline Services

Construct streamlined pipelines and automate data ingestion to expedite the generation of insights.

Consolidate data from diverse sources and minimize data latency.

AIML Datalogics offers data pipeline services to address data silo challenges effectively. With automated ingestion, processing, and management of extensive data from various sources, we have developed over 5000 data pipelines that enhance query performance and enable organizations to access data faster, obtaining near real-time insights. Leveraging our proficiency in end-to-end data engineering and open-source technologies, we construct adaptable ELT solutions using cloud-native code. In addition to hand-coding data pipelines, AIML Datalogics utilizes a combination of no-code, low-code tools, and automation for pipeline development.

Building modern data architecture with data lake

Find out how businesses leverage data lakes to capitalize on the available data and drive real-time insights for faster and more effective decision making.

End to End data pipeline development and management services

Ingest

Connect siloed data sources faster with our proven frameworks.

Automate

Automate ingestion and data processing from diverse sources.

Streamline

Efficiently process data for real-time reporting and insights.

Migrate

Migrate to the right cloud infrastructure at optimal cost.

Optimize

Improve query performance and enhance scalability.

Govern

Get robust data lineage, security and compliance.

Our other offerings in Data Engineering

ML Engineering

Strengthen ML model lifecycle management and accelerate the time to business value for AI projects with robust ML engineering services.

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Cloud Transformation

Modernization, migration, and optimization of cloud performance with agility and reliability for optimal data usage.

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DataOps

Managed services to help you automate end-to-end enterprise data infrastructures for agility, high availability, better monitoring, and support.

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Let’s talk data !

Want to get faster and higher returns on your data & analytics initiatives?