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Divyansh JainDJ
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Divyansh Jain

@divyanshjain3

I build scalable cloud data pipelines that improve analytics freshness, reliability, and cost efficiency.

India
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What I'm looking for

I'm looking to build reliable, scalable cloud data pipelines and warehouses, with opportunities to improve data freshness, quality, performance, and cost efficiency.

I've built data pipelines and warehouse solutions across marketing, insurance, and banking, using Python, SQL, AWS, Airflow, Snowflake, and DBT.

At EVERSANA, I built a parallelized Airflow DAG that loads 200+ tables concurrently from API tasks, cutting daily load runtime by about 65%. I also automated Google Ads, Reddit Ads, and Google Campaign Manager 360 ingestion into Snowflake, reducing manual reporting effort by about 50%.

I designed AWS ELT pipelines using ECS, ECR, S3, Redshift, Athena, Snowflake, and DBT to enable same-day analytics refresh. Through Snowflake warehouse tuning, clustering, incremental models, and query optimization, I reduced compute spend by about 30% and lowered pipeline failures with data-quality checks, retries, and SLA alerts.

Previously at Capgemini, I migrated 25M+ claim records with 98% accuracy and zero downtime, while improving ETL and recovery workflows with Databricks, PySpark, Informatica, Oracle, and Control-M. At Newgen Software, I helped deliver a loan-origination accelerator for Bank of Baroda across 24 branches and improved Oracle retrieval and search performance.

Experience

Work history, roles, and key accomplishments

Newgen Software logoNS

Software Engineer

Newgen Software

Jan 2023 - Oct 2023 (9 months)

Developed the CLOS Accelerator for Bank of Baroda using Java and JavaScript, deployed across 24 branches, improving loan origination efficiency by 35%. Collaborated on Oracle implementation and optimized data retrieval processes.

Education

Degrees, certifications, and relevant coursework

Guru Gobind Singh Indraprastha University logoGU

Guru Gobind Singh Indraprastha University

Bachelor of Technology, Computer Science Engineering

2019 - 2023

Grade: 9.01 CGPA

Pursued a Bachelor of Technology in Computer Science Engineering, achieving a CGPA of 9.01.

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