Rishabh Jain
@rishabhjain6
Data Engineer and Project Lead building scalable ETL/ELT pipelines and cloud data platforms.
What I'm looking for
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
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.
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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