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Pawan Tat

Data Engineer

Pawan Tat is a Data Engineer at Algoscale with hands-on experience in Big Data technologies and cloud-based data solutions. He has spent over three years building scalable data pipelines and processing large volumes of data across Azure, AWS, and Microsoft Fabric. His core toolkit includes Spark, Scala, PySpark, Python, and SQL. Pawan approaches data engineering with a clear focus on efficiency and impact: every pipeline he builds is designed not just to move data, but to enable smarter, faster decision-making across the organizations he works with.

Blog posts by this author

Software Consulting Services

Software Consulting Services: How Algoscale Helps Enterprises Build, Scale, and Modernize Smarter Every enterprise reaches a point where its technology stack starts

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enterprise data services

Enterprise Data Services

Enterprise Data Services: What They Are and Why Every Enterprise Needs a Unified Partner Most enterprises don’t struggle with data because they

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Microsoft Fabric vs Databricks: Which Is Better for Enterprises?

The Problem Both Platforms Are Trying to Solve Most enterprises already have cloud storage, data pipelines, BI tools, and machine learning platforms

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What Is a Data Lakehouse and How Does It Work

Top Benefits of Data Lakehouse for Enterprise Data Modernization

Enterprise data teams have spent the better part of a decade managing a frustrating architectural tradeoff. Cloud data warehouses delivered excellent SQL

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Generative AI Data Lake House

How Generative AI Benefits from a Data Lakehouse Foundation

Generative AI has moved from research curiosity to enterprise production requirement in less than three years. Language models that summarise documents, generate

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data lake house

Creating a Single Source of Truth Using Data Lakehouse Architecture

Modern enterprises generate data across dozens of systems simultaneously. CRM platforms, ERP modules, marketing automation tools, IoT sensors, transactional databases, and third-party

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Benefits of a Data Lake House

Top Benefits of Data Lake House for Enterprise Data Modernization

Every enterprise today is sitting on more data than it knows what to do with. Customer transactions, machine sensor readings, application logs,

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Modern data plateform (lakehouse)

Why Modern Enterprises Are Moving to Lakehouse Architecture 

Something fundamental has shifted in the way enterprise data teams are thinking about their infrastructure. After more than a decade of living

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Data Warehouse Consultant

Key Features to Look for in Data Warehouse Services

If you run a mid-size or enterprise organization in 2026, a data warehouse almost certainly sits somewhere in your analytics stack already.

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