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Rishabh Jain

@rishabhjain6

Data Engineer and Project Lead building scalable ETL/ELT pipelines and cloud data platforms.

India
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What I'm looking for

I’m looking for a role where I can lead end-to-end ETL/ELT and data platform work—optimizing pipelines, strengthening data governance, and building reliable production analytics systems while partnering with cross-functional teams.

I’m a Data Engineer with 7 years of experience building scalable ETL/ELT pipelines and cloud-based data platforms, and I’m currently leading data initiatives at Bain across multi-region datasets spanning 20+ countries.

I focus on production-grade analytics systems—using SQL, Python, Snowflake, Airflow, and AWS to architect data platforms, optimize queries, and improve data governance. At Bain, I architected and delivered 60+ batch and event-driven pipelines, reducing manual reporting effort by ~60% by automating orchestration and streamlining Snowflake transformations.

I also build reliability into the workflow: I’ve developed production-grade Python modules and FastAPI REST APIs, and implemented automated validation, monitoring, and error-handling frameworks to strengthen observability and incident prevention. Previously at ZS Associates, I delivered KPI-focused ETL pipelines for Fortune 500 clients, improved performance using star/snowflake schemas, and reduced recurring reporting errors through transformation validation and data quality checks.

Experience

Work history, roles, and key accomplishments

BC
Current

Data Engineer (Project Lead)

Bain & Company

Mar 2022 - Present (4 years 2 months)

Architected and delivered 60+ scalable batch and event-driven ETL/ELT pipelines processing multi-region datasets across 20+ countries using Snowflake, Airflow, Python, and AWS. Reduced manual reporting effort by ~60% by automating orchestration, optimizing Snowflake transformations, and implementing validation and monitoring for reliable production analytics.

ZA

Business Technology Associate

ZS Associates

Jun 2019 - Mar 2022 (2 years 9 months)

Built SQL and Python ETL pipelines processing millions of enterprise records through recurring daily and weekly workflows to support operational analytics and KPI reporting for Fortune 500 clients. Optimized star/snowflake schemas and reduced recurring reporting errors by implementing transformation validation and data quality checks before production deployment.

Education

Degrees, certifications, and relevant coursework

Rishabh hasn't added their education

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Tech stack

Software and tools used professionally

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