WHAT WE OFFER

End-to-End Data Engineering Services

Build scalable AI/ML platforms to discover better insights with diversified data engineering services.Accelerate generation and adoption of actionable insights through mature data platforms leveraging our data engineering solutions and services

Data Engineering Consulting

We're ready to offer data engineering consulting services to companies taking the first steps with data or needing guidance in ongoing projects.

Data Architecture

Implement scalable, secure, and accessible architectures that provide a unified view of your data, integral to the data engineering process.

Data Ingestion

Build robust processes for obtaining, importing, migrating, and modernizing data, ensuring it's ready for use or storage.

Data Integration

Leverage our integration services to consolidate digital information from various sources, making it ready for processing and analysis.

Data Storage

Organize effective on-premise or cloud storage infrastructure to keep your data secure and accessible anytime.

Data Processing

Implement real-time or batch processing to provide structured information tailored to your business goals.

Data Visualization

Use intuitive dashboards to visualize data and gain insights that drive workflows and decision-making processes.

Data Governance

Establish a data governance foundation to ensure data security and compliance with industry regulations like CCPA and GDPR.

Data Governance

Establish a data governance foundation to ensure data security and compliance with industry regulations like CCPA and GDPR.

Data Lake Implementation

Build a scalable and secure data lake to store and manage large volumes of structured and unstructured data for advanced analytics.

Data Warehouse Implementation Design

Design and implement a modern data warehouse to support business intelligence, analytics, and reporting needs.

Data Migration to the Cloud

Migrate your data from on-premises systems to cloud platforms, ensuring data integrity, security, and minimal downtime.

DataOps Implementation

Implement DataOps practices to streamline data integration, improve data quality, and accelerate analytics workflows.

Data Lakehouse

Investing in a Modern Data Lakehouse isn't just a technological upgrade - it's a strategic move to future-proof your business. Say goodbye to data silos, scalability concerns, and slow decision-making. Embrace the future of data management and position your business for success.

Startup Solutions

We help startups build product MVPs, set up teams, and access new technologies.

Product Companies

Our technical capabilities help accelerate product development & delivery.

Digtal agency

We help digital agencies manage talent shortages and expand expertise.

Enterprises

Our 360° enterprise solutions range from product development to modernization.

Actionable insights with right data strategy and robust platform

Today's organizations generate a huge amount of data that needs to be optimized and transformed into useful business knowledge. Our team of qualified and experienced Data Engineers and Consultants will create high-performance infrastructure and optimize your data to help you make better decisions and achieve your business goals.

Analysts and data scientists of large enterprises usually spend over 70% of their time in data processing rather than on analysis and insights generation. Travinto's data engineering services aim to solve data-related challenges by building efficient data pipelines that modernize platforms and enable rapid AI adoption. We help organize and manage your data better, generate faster insights, build predictive systems, and effectively collaborate with the data science teams to extract the highest ROI from your data investments

Ready to Innovate with Us? Let's talk

Customer Success Stories

Automated data ingestion
Automated Data Ingestion

Built a data lake for real-time insights.

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BFSI trade surveillance
Faster Data Pipelines

Streamlined 100 MN rows of market data daily.

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AdTech cloud migration
Cloud Migration Savings

Achieved 65% cost savings with GCP migration.

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MLOps model improvement
MLOps Runtime Improvement

Reduced model runtime from 8 days to 14 hours.

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