About Me

I am Arushi Srivastava, a Data Solutions Architect at Carmichael Lynch with 5+ years of experience in data engineering, analytics, and cloud platforms. I hold a Master’s in Management Information Systems from Texas A&M University.

At Carmichael Lynch, I have architected and led the delivery of scalable data pipelines for 6+ clients on Google Cloud Platform (Workflows, Triggers, Cloud Composer), reducing manual reporting time by 80%. I spearheaded the end-to-end rollout of Looker across six brands with zero data leakage and directed the development of geo-spatial frameworks using Python, BigQuery, Dataflow, and DBT that improved campaign ROI tracking by 25%. By designing modular reporting layers and automating weekly reporting on GCP and Snowflake, I streamlined delivery cycles and influenced a 40% increase in media spend decisions within six months.

Previously, as a Data Engineer at Mays Business School, I developed and deployed actionable FinTech strategies by designing batch & real-time pipelines with Azure Data Factory, Snowflake, and Python—reducing costs by 30% and improving forecasting accuracy by 78%. I also built scalable reporting solutions by developing incremental DBT models and Tableau dashboards with SLAs, KPIs, and automated quality checks, reducing risks by 26% and enabling faster insights. Earlier in my career at Wipro Ltd., I led a team of eight to automate 86% of manual tasks, migrated 10TB+ of data to Azure Cloud, and implemented enterprise-wide dashboards that achieved a 95% CSAT while reducing incidents by 64%.

My technical expertise spans GCP, AWS, Azure, Python, SQL, Airflow, Dataflow, Snowflake, and DBT, along with BI tools such as Looker, Tableau, and Power BI. I specialize in designing secure, scalable pipelines and governance frameworks that empower data-driven decisions.