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Sangeetha EzhumalaiSE
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Sangeetha Ezhumalai

@sangeethaezhumalai

I’m an Azure Data Engineer building scalable Medallion pipelines and governance-first data platforms.

India
Message

What I'm looking for

I’m looking to build reliable, scalable Azure data platforms with governance and automation at the core—owning ingestion, transformations, and orchestration while collaborating to drive measurable data quality and fewer pipeline failures.

I’m an Azure Data Engineer with 5 years of IT Data Engineer experience, focused on data ingestion and transformation for scalable analytics platforms. I build full and incremental data pipelines using Azure Synapse Analytics and parameterize them for Medallion Architecture (Bronze → Silver → Gold), so teams can make data-driven decisions.

I develop complex transformation solutions with PySpark in Azure Databricks, including SCD Type 2 for dimensional models. I also implement governance with Databricks Unity Catalog (RLS and OLS), automate ingestion frameworks, and improve reliability through SIT/UAT, deployment documentation, and root-cause analysis.

Experience

Work history, roles, and key accomplishments

TS
Current

Azure Data Engineer

Tata Consultancy Services

Jan 2021 - Present (5 years 4 months)

Built scalable Azure data ingestion and ETL pipelines using Azure Synapse Analytics and Azure Databricks, including parameterized Medallion Architecture (Bronze → Silver → Gold). Developed reusable ingestion frameworks, complex PySpark transformations (including SCD Type 2), and data governance controls with Databricks Unity Catalog (RLS/OLS).

Education

Degrees, certifications, and relevant coursework

MT

Manakula Vinayagar Institute of Technology

Bachelor of Technology, Electronics and Communication Engineering

Activities and societies: Projects include Market Basket Analysis for cross-sell/upsell using Azure ML Workspace and sales forecasting insights using Python and Power BI.

Earned a Bachelor of Technology in Electronics and Communication Engineering, graduating in 2020. Built Azure-based data pipelines using a Medallion (Bronze/Silver/Gold) architecture and developed a metadata-driven ingestion framework.

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