![Gabriel Boucaud](https://jobicy.com/react/themes/app/images/avatar.jpg) Gabriel Boucaud # Business Intelligence Engineer Actively looking · Member since 5 Sep 2023 [Message](https://jobicy.com/dashboard-page.md) ShareLocationUnited StatesDesired salaryUnspecifiedWork preferenceFull TimeExperience levelNot set * [Overview](#overview) * [Portfolio 0](#portfolio) * [Services 0](#services) ## About Professional summarySolution-driven Business Intelligence Engineer with 3 years of experience delivering core data products by developing scalable data models and ETL pipelines. Proven track record of collaborating with stakeholders to build data solutions and produce impactful analytics. ## Skills 5 capabilities[Big Data](https://jobicy.com/talent/big-data.md)[Data Analytics](https://jobicy.com/talent/data-analytics.md)[Data Automation](https://jobicy.com/talent/data-automation.md)[Python](https://jobicy.com/talent/python.md)[SQL](https://jobicy.com/talent/sql.md) ## Experience Career history ### Business Intelligence Engineer · Pitchbook Data July 2022 – PresentDevelop scalable data models and ETL pipelines, enabling transparent and automated reporting of core metrics for a $550M book of business. • Collaborate with Finance and Customer Experience leadership to automate all reporting of all account management metrics in Snowflake and Tableau, reducing manual reporting time by 100 hours monthly. • Partner with Salesforce Architects to automate ETL pipeline for analyzing and identifying flawed closed deals, resulting in a 17% reduction in Revenue Operations support tickets. • Create Python-based analytical model to extract, score, and load entities from the PitchBook platform to Salesforce, resulting in a 7% increase in demo completion rates. • Construct Salesforce ELT pipelines using Python, Airflow, and DBT, increasing data refresh frequency by 300%. • Implemented slow-changing dimensional modeling of key business metrics to enhance data governance and support comparative analytics solutions. • Collaborate with software engineers to improve newsletter data accuracy by developing a Python data transformation pipeline to analyze subscriber usage and eliminate suspicious user behavior from reporting. ### Consultant - Data Engineer · Linksbridge SPC December 2021 – July 2022Developed and optimized ETL pipelines and quality assurance functions to enhance forecasting and dashboard accuracy. • Automated 14 ETL pipelines in Airflow to transform, test, and blend diverse data sources, leading to a 40% enhancement in the accuracy of the global vaccine supply model. • Collaborated with data scientists to identify modeling bottlenecks and implemented custom data warehouse tasks, resulting in a 6-hour monthly reduction in manual data entry time. • Utilized Python to blend data from public and confidential sources, creating a Monte-Carlo simulation for precise estimation and forecasting of vaccine demand in private markets. ### Data Engineer Graduate Intern · Linksbridge SPC June 2021 – December 2021• Developed Python scripts to identify discrepancies across data sources, increasing supply forecast accuracy by 15%. • Engineered backend database design of the UNICEF Vaccine Market Dashboard, resulting in improved data accuracy and a reduction in downtime by 87% monthly. ### Howard J. Bosanko Graduate Research Fellow · Seattle University, Albers School of Business and Economics October 2020 – June 2021• Developed ETL pipelines in R to transform, blend, and automate the ingestion of 150 MICS datasets, leading to a 45% increase in the model sample size when integrated with DHS surveys. • Created impactful data visualizations, effectively presenting statistical and technical information in a clear and concise manner, contributing to transparent understanding of research findings. ## Education Learning history ### Seattle University 2020 – 2022MS - Data Analytics ### Washingotn State University Honors 2015 – 2019BS - Finance This professional hasn’t added portfolio projects yet. This professional hasn’t listed any services yet.