Open to opportunities

shril jain

@shriljain

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I build scalable Azure data pipelines and analytics solutions using PySpark and SQL.

India

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What I'm looking for

I'm seeking opportunities to contribute to impactful data engineering and analytics projects, build scalable cloud data platforms, solve complex data challenges, and continue expanding my knowledge of modern data technologies and best practices.

I'm building enterprise-scale data engineering solutions at eInfochips for a leading FMCG client, using Azure Data Factory, Databricks, PySpark, SQL, ADLS, and Delta tables to ingest, transform, validate, and deliver reliable data.

I've optimized PySpark SQL transformations, resolved data-quality issues across ingestion and reporting workflows, and enhanced Power BI dashboards with report pages, DAX measures, and performance improvements. I'm a Certified Microsoft Fabric Data Engineer pursuing a BTech in Computer Science, and I enjoy creating scalable data platforms that support data-driven decisions.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer Intern

Current

eInfochips

Feb 2025 - Present (1 year 6 months)

Worked on enterprise-scale data engineering solutions for a leading FMCG domain client, supporting data integration, transformation, and analytics initiatives. Built and enhanced ETL/ELT data pipelines using Azure Data Factory and PySpark (Databricks) to ingest, transform, and validate data from multiple sources.

Microsoft SQL Server Azure Data Factory Analytical Skills Azure Functions Cloud Services Data Analysis Azure Automation Data Pipelines ETL Tools PySpark Pipelines Data Cleaning Data Ingestion

Current

Intern

Current

eInfochips (An Arrow Company)

Feb 2025 - Present (1 year 6 months)

Worked on enterprise-scale data engineering solutions for a leading FMCG domain client, supporting data integration, transformation, and analytics initiatives.

Built and enhanced ETL/ELT data pipelines using Azure Data Factory and PySpark (Databricks) to ingest, transform, and validate data from multiple sources.

Debugged and resolved data quality and pipeline issues by analyzing ingestion, tran