
Shailaja S
Senior Data Engineer Data Architect BigQuery, dbt, GCP
Skills

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Portfolio
Work experience
Data engineer / Architect
Naked • Self-employed
Feb 2026 - Present • 8 mos
• Sole owner of the data warehouse function, designing and maintaining end-to-end ETL/ELT pipelines and dimensional data models on BigQuery using dbt. • Built and maintain a Shopify sales dashboard in Power BI, giving leadership real-time visibility into revenue, orders, and channel performance. • Developed web and ecommerce analytics covering cart behavior, inventory, and customer cohort analysis to support marketing and operations decisions. • Integrated and modeled data from Shopify, GA4, Klaviyo, Amazon Sales, and Facebook Ads into a unified warehouse, enabling cross-channel reporting. • Automated PR summary generation across most git repositories to flag critical issues at review time, improving code review speed and quality. • Built a Claude-based automated sanity testing workflow for the Shopify theme repository, catching regressions before deployment. • Work closely with marketing, operations, and sales teams, and interact directly with the CEO to translate business questions into data-driven answers. Technologies Used: dbt, Google BigQuery, GCP, Power BI, Shopify, GA4, Klaviyo, Facebook Ads, SQL, Python, Claude (Anthropic), Git, CI/CD
Senior data engibneer
Walmart • Full-time
May 2022 - Feb 2026 • 3 yrs 9 mos
• Designed and implemented configuration-driven data pipelines using Hadoop, Apache Airflow, and GCP to process large-scale datasets (10M+ records/month). • Integrated third-party sales, competitor, and consumer profile data into Walmart's ecosystem, enabling marketing and campaign management teams to improve targeting by 20%. • Optimized pipelines using parallel processing and ephemeral cluster strategies, reducing cloud costs by 30%. • Enhanced data profiling and modeling processes using Erwin, improving data accuracy by 20%. • Contributed to GenAI initiatives, enabling high-quality data accessibility for AI-driven insights. Technologies Used: Hadoop, Apache Airflow, Scala, Google BigQuery, Google Dataproc, Erwin, Python, GenAI Agents
Big Data Developer
PwC • Full-time
Feb 2020 - May 2022 • 2 yrs 3 mos
• Developed and optimized marketing data pipelines using Apache Spark, reducing pipeline runtime by 50%. • Automated manual interventions, cutting operational effort by 30%. • Delivered insights into customer behavior and marketing spend, improving client decision-making by 15%. • Contributed to internal process improvements, enhancing overall efficiencies by 20%. Technologies Used: Apache Spark, Hadoop, SQL