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Saransh JainSJ
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Saransh Jain

@saranshjain3

Data Engineer at Capgemini Technology Services who optimized Spark jobs to reduce execution time and reporting latency by up to 30%.

India
Message

At Capgemini Technology Services, I designed ETL/ELT pipelines for supply chain and analytics using Azure Databricks, PySpark, and Spark SQL. I optimized Spark jobs with partitioning, caching, and query tuning, reducing execution time and reporting latency by up to 30%.

For healthcare data integration, I implemented a metadata-driven ingestion architecture in Microsoft Fabric and developed and validated Silver-to-Gold pipelines. I also built a retail analytics Lakehouse on Azure Databricks, integrating Salesforce and PostgreSQL data for KPI reporting and Genie-powered analytics.

Experience

Work history, roles, and key accomplishments

CS

Associate Consultant - Data Engineer

Dec 2022 - May 2026 (3 years 5 months)

Designed and developed scalable ETL/ELT pipelines using Azure Databricks, PySpark, Spark SQL, and Azure Data Factory. Built and optimized Medallion Architecture pipelines, migrated on-premise workloads, and optimized Spark jobs reducing execution time by up to 30%.

Education

Degrees, certifications, and relevant coursework

RE

Rungta College of Engineering

Bachelor of Technology, Computer Science

2018 - 2022

Grade: 8.63/10.0

Bachelor of Technology in Computer Science from Rungta College of Engineering, Bhilai, with a CGPA of 8.63/10.0.

DA

Databricks

Databricks Certified Associate Data Engineer, Data Engineering

Certified as a Databricks Certified Associate Data Engineer.

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