Diego Amaral

Maintain 10+ legacy DMS processes responsible for updating 60% of the company’s data flow. Migrated legacy analytics reporting infrastructure to a modern stack using DuckDB and dbt, covering 200+ pipelines. Designed and implemented 30+ data migration pipelines to the Data Lake using Artie (CDC-focused), including automated data quality tests. Led the automation of health checks across AppFlow, Data Pipelines, DMS, and Glue, saving 20+ hours of manual monitoring per month. Engineered context-aware agent workflows (CLAUDE.md + repo, dbt models, and pipeline metadata) that let LLMs reason over the full codebase, accelerating debugging of pipeline failures and onboarding onto unfamiliar stacks.

• Analytics and Reporting: Built dashboards using Power BI and Databricks, enabling data-driven decision-making and improved user acceptance testing processes. • Conducted data-driven A/B tests to refine feature performance, aligning with user needs and business goals. •Launched dynamic discounts on the app homepage, increasing user adoption by 8% and driving 1*MM+ BRL in monthly revenue. • Collaborated with design experts, and engineering partners to ensure the seamless execution of features.

• Built scalable data pipelines using Apache Spark, Databricks, DBT, Airflow, improving data processing efficiency by 30%. • Designed and maintained 100+ ETL and Data Modeling processes, ensuring data reliability and accessibility across financial, operational, and onboarding data. • Delivered 50+ data tools impacting 500+ monthly stakeholders, improving analytical processes and decision-making accuracy. • Conducted deep-dive analyses on user and operational data to uncover trends, optimize workflows, and recommend process improvements, resulting in measurable efficiency gains. Created dashboards in Tableau, Metabase, and Looker to support insights and leadership reporting.

• Played a key role in a cross-functional team that achieved a 50% increase in conversion rate by improving restaurant searchable tags, leading to a 10% revenue growth in Small-Medium Business(SMB) vertical. • Automated data integration from Salesforce to Uber Eats internal tool, streamlining workflow and reducing manual errors using python scripts. • Developed an internal product for scalable promotions and ads in the SMB sector, featuring a performance tracking dashboard. That increased offer adoption by restaurants by 50% month-over-month.

• Developed data visualization dashboards in Tableau, transforming complex budget datasets into actionable insights and enabling real-time scenario projections, replacing manual reporting processes. • Contributed to the development of the 2018 and 2019 Insurance Budgets and played a role in defining project ROI calculations. • Created and monitored reports and collaborated in defining essential metrics for the Insurance products by channels