Paras Dhyani

Databricks Certified Professional

Paras Dhyani is a Databricks Certified Data Engineer Professional specializing in scalable data architecture and analytics. He focuses on transforming complex data challenges into streamlined, production-ready engineering solutions. Through his writing, Paras provides practical insights into building and optimizing high-performance systems on the Databricks platform.

DPDP Retention & Erasure on Databricks: Audit Proof

Data Management

DPDP Retention & Erasure on Databricks: Audit Proof

Managing Delta Lake VACUUM & Time Travel for DPDP Erasure

Data Management

Managing Delta Lake VACUUM & Time Travel for DPDP Erasure

Unity Catalog Audit Logs for DPDP Deletion & Audit Evidence

Data Engineering

Unity Catalog Audit Logs for DPDP Deletion & Audit Evidence

DPDP vs GDPR: 4 Structural Differences for Data Architecture (2026)

Data Management

DPDP vs GDPR: 4 Structural Differences for Data Architecture (2026)

DPDP Act 2023 Requirements and Commencement Timeline

Data Management

DPDP Act 2023 Requirements and Commencement Timeline

Who Must Comply With DPDP? Applicability, Exemptions, and Tiers (2026)

Data Management

Who Must Comply With DPDP? Applicability, Exemptions, and Tiers (2026)

When Do DPDP Obligations Come Into Force? The 3-Phase Timeline 2026

Data Management

When Do DPDP Obligations Come Into Force? The 3-Phase Timeline 2026

What Are the Penalties Under the DPDP Act? The Full 2026 Schedule

Data Management

What Are the Penalties Under the DPDP Act? The Full 2026 Schedule

Significant Data Fiduciary Under DPDP: Obligations and Impact (2026)

Data Management

Significant Data Fiduciary Under DPDP: Obligations and Impact (2026)

Implementing DPDP Readiness on Databricks: Architecture Reference

Data Engineering

Implementing DPDP Readiness on Databricks: Architecture Reference

How to Manage DPDP Consent on Databricks: Consent Store Pattern (2026)

Data Management

How to Manage DPDP Consent on Databricks: Consent Store Pattern (2026)

DPDP Readiness Roadmap: Implementation and Audit Preparation (2026)

Data Management

DPDP Readiness Roadmap: Implementation and Audit Preparation (2026)

DPDP Readiness on Databricks: The Complete Guide 2026

Data Engineering

DPDP Readiness on Databricks: The Complete Guide 2026

DPDP Implementation Timeline on Databricks: 2026 Reality Check

Data Engineering

DPDP Implementation Timeline on Databricks: 2026 Reality Check

DPDP Breach Notification Requirements: 72-Hour Rule Explained (2026)

Data Management

DPDP Breach Notification Requirements: 72-Hour Rule Explained (2026)

What Rights Do Data Principals Have Under DPDP? All 5 Explained 2026

Data Management

What Rights Do Data Principals Have Under DPDP? All 5 Explained 2026

Data Principal Requests on Databricks: Workflow Architecture (2026)

Data Engineering

Data Principal Requests on Databricks: Workflow Architecture (2026)

What Are the Biggest Challenges in Modern Data Engineering

Data Engineering

What Are the Biggest Challenges in Modern Data Engineering

Unity Catalog Explained for Data Engineering Teams

Data Engineering

Unity Catalog Explained for Data Engineering Teams

What Does a Databricks Data Engineer Do

Data Engineering

What Does a Databricks Data Engineer Do

What Is a Lakehouse and Why Is It Replacing Traditional Data Stacks

Data Engineering

What Is a Lakehouse and Why Is It Replacing Traditional Data Stacks

How To Migrate From Legacy ETL to a Modern Data Platform

Data Engineering

How To Migrate From Legacy ETL to a Modern Data Platform

Medallion Architecture on Databricks: Bronze, Silver, Gold Explained

Data Engineering

Medallion Architecture on Databricks: Bronze, Silver, Gold Explained

How To Reduce Data Engineering Complexity and Tool Sprawl

Data Engineering

How To Reduce Data Engineering Complexity and Tool Sprawl

How Do You Make a Data Platform AI-Ready?

Artificial Intelligence

How Do You Make a Data Platform AI-Ready?

How Does Medallion Architecture Improve Data Quality

Data Engineering

How Does Medallion Architecture Improve Data Quality

How Does Lakeflow Compare to Traditional ETL Orchestration Tools

Data Engineering

How Does Lakeflow Compare to Traditional ETL Orchestration Tools

How Databricks ETL Pipelines Work in Practice

Data Engineering

How Databricks ETL Pipelines Work in Practice

What Is Unity Catalog Used for in Databricks

Data Management

What Is Unity Catalog Used for in Databricks

How Can Teams Reduce Data Pipeline Maintenance Overhead

Data Engineering

How Can Teams Reduce Data Pipeline Maintenance Overhead

Databricks Lakeflow Explained: What It Means for Your Team

Data Engineering

Databricks Lakeflow Explained: What It Means for Your Team

Can Databricks Handle Both Batch and Streaming Pipelines

Data Engineering

Can Databricks Handle Both Batch and Streaming Pipelines

Why Do Legacy ETL Stacks Become Brittle Over Time

Data Engineering

Why Do Legacy ETL Stacks Become Brittle Over Time

When Should You Use Declarative Pipelines in Databricks

Data Engineering

When Should You Use Declarative Pipelines in Databricks

The Complete Guide to Data Engineering on Databricks (2026)

Data Engineering

The Complete Guide to Data Engineering on Databricks (2026)

Solving PrimeInsurance Data Challenges at the Databricks Hackathon

Data Engineering

Solving PrimeInsurance Data Challenges at the Databricks Hackathon

Why Databricks Works Well for AI-Ready Data Engineering

Artificial Intelligence

Why Databricks Works Well for AI-Ready Data Engineering

How Do You Govern Data and AI Assets in One Platform

Data Management

How Do You Govern Data and AI Assets in One Platform

What Is the Difference Between a Data Lake, Data Warehouse, and Lakehouse

Data Engineering

What Is the Difference Between a Data Lake, Data Warehouse, and Lakehouse

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