Balaji Yadav
@balajiyadav
I build scalable Azure data pipelines that turn raw data into analytics-ready datasets.
IndiaWhat I'm looking for
At Cognizant, I architect end-to-end Azure data engineering solutions spanning ingestion, transformation, storage, and delivery with Azure Databricks, Azure Data Factory, and Delta Lake. I build PySpark workloads for large datasets and have improved processing times by 30–50% through partition tuning, caching strategies, and optimized cluster usage.
I've delivered automated ETL/ELT pipelines, reusable metadata-driven frameworks, SQL transformation logic, and robust data models for analytics and reporting. My work includes a football analytics platform that transformed match, player, and event data into curated datasets for dashboards and performance insights.
Experience
Work history, roles, and key accomplishments
Architected and implemented end-to-end cloud data engineering solutions on Azure, covering ingestion, transformation, storage, and delivery using Databricks, Data Factory, and Delta Lake. Engineered high-performing PySpark workloads handling large datasets, enabling 30–50% faster processing through partition tuning, caching strategies, and optimized cluster usage.
Education
Degrees, certifications, and relevant coursework
Vel Tech University
Bachelor of Technology, Electronics and Communication Engineering
Bachelor of Technology in Electronics and Communication Engineering from Vel Tech University, Chennai, graduated in 2022.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Salary expectations
Job categories
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