Open to opportunities

Jesus Jimenez

@jesusjimenez3

Data Engineer and analyst who builds scalable warehouse + dbt pipelines, dashboards, and data-quality improvements for executives.

United States

Message

What I'm looking for

I’m looking for a data engineering role where I can build scalable warehouse + dbt transformations, improve data quality, and deliver executive-ready dashboards that measurably reduce processing time and drive better decisions.

I’m a Data Engineer who bridges analytical needs and engineering execution—building reliable, scalable data pipelines, transformation layers, and decision-ready dashboards. I’ve owned complex migrations and transformations end-to-end, from warehouse schemas to automated reporting.

At CannonDesign, I helped lead the firm-wide migration of 100+ tables from Snowflake to BigQuery as second-in-command, creating schemas, SQL files, and YML configurations across the full data pipeline. I architected and maintained 100+ dbt models spanning staging, intermediate, and marts layers to deliver a modular, scalable transformation framework.

I focus on measurable impact: I reduced data processing time by 50% by moving business logic from Power BI DAX into dbt layered modeling. I also designed and deployed 10 firm-wide dashboards with automated refresh to support real-time executive decision-making, and improved data quality by cleaning legacy schemas and implementing structured data models.

Previously, I worked as a Data Analyst across education and nonprofit contexts—driving SQL-based analytics, ETL, validation, and dashboard development. I contributed to revenue-generating initiatives, reduced overhead by 20%, improved forecasting accuracy by 25%, and strengthened stakeholder understanding with clear Power BI and Tableau reporting.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Cannon Design

Nov 2024 - Present (1 year 7 months)

Led a firm-wide migration of 100+ tables from Snowflake to BigQuery, owning schema creation, SQL files, and pipeline configuration. Reduced data processing time by 50% by moving Power BI DAX business logic into dbt layered models and built 10 dashboards with automated refresh for executive decision-making.

DBT BigQuery Snowflake SQL Python Pyspark Azure DevOps Data Modeling Medallion Architecture

Data Analyst II

Cannon Design

Sep 2023 - Jan 2024 (4 months)

Spearheaded dataset collection and synthesis to support three revenue-generating initiatives, recommending actions that reduced overhead costs by 20%. Built and implemented ETL processes, improved forecasting accuracy by 25%, and created Power BI dashboards and visualizations that accelerated stakeholder approvals by 30%.

SQL ETL Power BI Data Visualization Forecasting Data Validation Data Modeling Reporting Stakeholder Management

Data Analyst I

United Federation of Teachers

Nov 2019 - Sep 2023 (3 years 10 months)

Used advanced SQL and analytics to increase grant budget by 75% and improve satisfaction by 20%, while ensuring reporting compliance through data extraction and quality audits. Improved operational efficiency by 25%, reduced man-hours by 8% and accelerated onboarding by 50%, and created Excel/Tableau dashboards improving program effectiveness by 15%.