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Aashritha Ladi

@aashrithaladi

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Data engineer specializing in scalable ETL frameworks and cloud solutions.

India

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What I'm looking for

I seek a role that fosters innovation and collaboration, with opportunities for growth in data engineering and machine learning.

I am a dedicated Framework Engineer at Quantiphi Analytics, where I have architected key components and engineered scalable ETL frameworks that enable seamless data integration across various sources. My work has significantly reduced processing delays by 30% and modernized legacy data warehouse architecture through the adoption of Snowflake.

With a Bachelor of Technology in Computer Science and a strong foundation in data engineering, I have successfully led projects that enhance operational efficiency and improve data accuracy. My experience includes building core components for cloud-native data platforms and developing predictive models that drive business insights.

Experience

Work history, roles, and key accomplishments

Current

Framework Engineer

Current

Quantiphi Analytics

Sep 2022 - Present (2 years 8 months)

Architected key components and engineered scalable ETL frameworks, enabling seamless data integration across structured, streaming, cloud, and on-premise sources. Orchestrated complex ETL processes in AWS using event-driven workflows, reducing processing delays by 30%. Led PoC for Snowflake adoption to modernize legacy DWH architecture and built core components of QLake, Quantiphi’s cloud-native d

AWS GCP Snowflake Apache Spark Data Warehousing Python SQL Redshift

Machine Learning Intern

Smartbridge Educational Services

Jan 2020 - Feb 2020 (1 month)

Built an Employee Attrition Prediction model using Random Forest classifier with 10 Fold Cross Validation. Integrated the model with Flask and hosted it on Heroku.

Machine Learning Random Forest Flask Heroku Python Data Modeling