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Ananya srinivasan

@ananyasrinivasan

Data Engineer with 4+ years building ETL pipelines and delivering analytics solutions.

United States
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What I'm looking for

I’m looking for a role where I can own ETL pipelines and data workflows, partner cross-functionally to turn requirements into scalable solutions, and improve operational performance through reliable, automated analytics.

I’m a Data Engineer with 4+ years of experience building ETL pipelines, designing data workflows, and delivering analytics solutions using SQL and Python. I translate business requirements into scalable, data-driven solutions that improve operational performance.

At CINC Systems, I lead technical onboarding for 75+ client implementations by extracting, transforming, validating, and migrating operational and financial datasets into a cloud-based SaaS platform. I designed and maintained scalable SQL- and Python-based ETL pipelines targeting 99% data accuracy, while building validation workflows to resolve data quality issues through root-cause analysis.

I also support production data workflows through troubleshooting migration issues, validating data integrity, and resolving client-facing incidents. Previously as a Data Engineer Intern at UPS Supply Chain Solutions, I migrated and rebuilt legacy dashboards into SAP Analytics Cloud and built SQL-based ETL pipelines to analyze KPIs across 10,000+ SKUs.

Experience

Work history, roles, and key accomplishments

CS
Current

Operations Data Engineer

CINC Systems

Nov 2024 - Present (1 year 9 months)

Led technical onboarding for 75+ client implementations by extracting, transforming, validating, and migrating operational and financial datasets into a cloud-based SaaS platform. Designed and maintained SQL- and Python-based ETL pipelines and automated reporting workflows to improve data reliability and reduce manual effort.

US

Data Engineer Intern

UPS Supply Chain Solutions

May 2024 - Nov 2024 (6 months)

Migrated and rebuilt legacy dashboards into SAP Analytics Cloud, standardizing reporting metrics to improve visibility into warehouse performance and operational efficiency. Built SQL-based ETL pipelines to analyze warehouse and transaction data across 10,000+ SKUs and track KPIs to identify fulfillment bottlenecks.

MD

Data Analyst Intern

Mad Street Den

Jan 2020 - May 2020 (4 months)

Performed customer journey analytics and behavioral modeling to improve understanding of customer behavior and increase seasonal revenue by 40%. Built interactive Tableau dashboards to improve KPI visibility and delivered recurring sales and performance reports to support a 20% increase in sales.

Education

Degrees, certifications, and relevant coursework

AU

Anna University

Bachelor of Engineering, Electronics and Communication Engineering

B.E. in Electronics and Communication Engineering from Anna University, completed by May 2018.

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