Vinoth kumar S

Software Engineer

Chennai, Tamil Nadu, India6 yrs 5 mos experience

Highly Stable

Key Highlights

Over 6 years of IT experience in data engineering.
Expertise in building scalable data pipelines on Azure.
Strong focus on cost optimization and performance tuning.

Stackforce AI infers this person is a Data Engineer specializing in Azure-based data solutions for SaaS applications.

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Skills

Core Skills

Azure Data FactoryDatabricksAzure Data LakeDelta LakeLogic AppsAzure Devops

Other Skills

ADLS Gen2Azure SQLPower BIKey VaultGitPySparkSQLSQL ServerContinuous Integration and Continuous Delivery (CI/CD)Communication

About

IAzure Data Engineer with over 6 years of IT experience and 3+ years of hands-on expertise in designing and delivering end-to-end, scalable, and cost-optimized data pipelines on Microsoft Azure. I specialize in: Azure Data Factory (ADF) for orchestrating and automating ETL/ELT workflows Azure Databricks with PySpark for large-scale data transformation and performance optimization Delta Lake architecture (Bronze/Silver/Gold) for scalable, version-controlled data processing Azure Data Lake Storage Gen2 and Azure SQL for secure, high-performance storage and analytics Key strengths include cost optimization, cluster tuning, data quality enforcement. I am passionate about building robust, business-focused data solutions that empower analytics and decision-making.

Experience

6 yrs 5 mos

Total Experience

2 yrs 10 mos

Average Tenure

8 mos

Current Experience

Ntt data

Senior Data Engineer

Sep 2025 – Present · 8 mos · Chennai, Tamil Nadu, India · Hybrid

Cognizant

2 roles

Data Engineer

Promoted

Jun 2022 – Sep 2025 · 3 yrs 3 mos · Chennai, Tamil Nadu, India

Associate – Azure Data Engineer
Cognizant | 07/2022 – Present | Chennai, India
Designed and deployed end-to-end ETL/ELT pipelines using ADF, Databricks, and ADLS Gen2.
Integrated on-premise SQL Server and CSV from SFTP into Azure Data Lake via Self-Hosted Integration Runtime.
Developed optimized PySpark transformations (map, filter, reduce, broadcast joins) for large datasets.
Implemented Delta Lake Bronze/Silver/Gold layers with schema enforcement & versioning.
Built dynamic pipelines with triggers (event/schedule-based) in ADF.
Automated monitoring and failure alerts using Azure Logic Apps and Key Vault.
Managed CI/CD deployment of ADF pipelines and Databricks notebooks via Azure DevOps.
Optimized Databricks cluster configurations for performance and cost savings.
Technologies: ADF, Databricks, ADLS Gen2, Delta Lake, Azure SQL, Power BI, Logic Apps, Key Vault, Git, Azure DevOps, PySpark, SQL