Open to opportunities

Venkata Chand

@venkatachand

Message

I build automated cloud data pipelines and dashboards that drive faster decisions.

United States

Message

What I'm looking for

I'm looking to build scalable, automated data solutions where I can improve data quality, define meaningful metrics, and deliver reliable pipelines and dashboards that support strategic decision-making.

At Walgreens, I build Python ETL workflows, Apache Airflow pipelines, and PySpark transformations on AWS, processing over 10 million records daily. My work reduced manual processing by 40%, improved Redshift report performance by 35%, and supported reliable delivery across more than 50 daily ETL jobs.

Previously at Cognizant Technology Solutions, I redesigned ETL workflows with PySpark, SQL, and dbt to reduce processing time by 40%. I also built AWS data pipelines, optimized Redshift and PostgreSQL warehouses, automated deployment and monitoring with Airflow and Git, and delivered reporting through Power BI, Redash, Looker, and Tableau.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Walgreens

Aug 2024 - Present (2 years)

Developed Python-based ETL workflows and complex SQL queries that automated data extraction, reducing manual processing time by 40% and enhancing data accuracy. Implemented Apache Airflow pipelines on AWS to automate and monitor over 50 daily ETL jobs, ensuring data delivery reliability.

Python SQL ETL Airflow AWS Redshift Tableau Redash PySpark DBT Git

Program Analyst

Cognizant Technology Solutions

Mar 2020 - Jan 2022 (1 year 10 months)

Redesigned ETL workflows using PySpark, SQL, and dbt to reduce data processing time by 40%, enabling faster exploratory data analysis for business reporting. Developed Python-based data pipelines on AWS that streamlined metric definitions across teams.