Data Engineering
Data infrastructure modernization aims to keep information encrypted, secure, compliant, and accessible, even as regulatory requirements and organizational policies change. With data becoming a mission-critical asset, modernization involves making a careful set of technological choices that do not compromise future growth goals.
LTIMindtree brings its experience of successfully modernizing the data infrastructure for online grocery retailers, airlines, global investment organizations, manufacturers, and several other verticals. The knowledge and best practices from these engagements are critical to resilient and optimized data ecosystems that run modern businesses.
LTIMindtree provides data engineering services and solutions encompassing bespoke data lakes, data hubs, and data warehouses, and migration to cloud warehouses (Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Snowflake, Databricks, with integration across data lakes and hubs. The services ensure that the latest data privacy and compliance regulations, such as GDPR, HIPPA, and CCPA, are met.
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Engineering supply chain efficiency for one of the largest o...
Optimizing data engineering pipelines to reduce write-offs and processing time from 24 to 6 hours for improving perishables availability for customers.
Leveraged distributed architecture to increase a European Ai...
Use historical sales data stored in Hadoop to engineer price elasticity estimator to forecast future demands and offer optimal seat price to customers.
Scalable and shared analytical platform for an investment fi...
Delivered a cloud-based scalable cost-effective platform on performance analytics for a UK-based global investment firm.
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Customer data platform: Delivering extraordinary data-driven...
Building an integrated data ecosystem that delivers personalized experiences in real time to increase purchases, build brand loyalty, and prevent churn.
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Winning in the age of personalization
The survey discovers where organizations are in their digital journey, how consumers are perceiving digital experiences, and consumer expectations.
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