Andrea Melissa Garcia Mejia
Mexico
Summary
Data Engineer with experience architecting, scaling, and maintaining production-grade ETL/ELT pipelines and cloud data ecosystems. Proven track record leading cross functional projects across Finance, Marketing, IT, and Operations, and integrating core architectures with enterprise CRM environments. Expert in Python, SQL, and PySpark, utilizing modern orchestration frameworks. Innovator with an AI-First engineering mindset, leveraging Claude and Cursor to optimize software delivery, validate code performance, and minimize compute costs.
Overview
4
4
years of professional experience
Work History
Data Engineer
Qualtrics
Ciudad De México
07.2025 - Current
- Architected ETL/ELT pipelines using Airflow, Prefect, and Kubernetes on AWS, maximizing real-time data freshness.
- Streamlined transformations via dbt, integrating third-party APIs and unifying multi-source customer data workflows.
- Led system and data migrations, optimizing legacy cloud architectures to significantly lower query compute costs.
- Embedded Claude and Cursor into workflows, accelerating delivery and optimizing SQL operations.
- Partnered with Finance, Marketing, IT, and Operations to triage production bottlenecks and automate reporting, enhancing operational efficiency.
Data Engineer – Digital Transformation
Cinepolis
Mexico
04.2023 - 03.2025
- Automated end-to-end pipelines, decreasing processing times by 20% and boosting audience delivery efficiency by 40%.
- Integrated Salesforce CRM into core structures, enabling real-time process triggers for targeted omnichannel campaigns.
- Deployed real-time streaming pipelines via Apache Kafka, handling millions of low-latency events daily.
- Re-engineered Data Lake frameworks on AWS (Glue, Athena, DynamoDB, CloudWatch) to maximize data traceability.
- Partnered with Data Science to build the data layer for a recommendation engine, increasing user conversion by 2-3%.
- Implemented robust CI/CD pipelines using AWS CodePipeline and Git, ensuring secure production deployments.
Data and Analytics Engineer
Capgemini
Mexico
07.2022 - 04.2023
- Optimized scalable data workflows using Azure Data Factory and Databricks, enhancing critical data reliability.
- Built enterprise Power BI dashboards for key KPIs, directly empowering stakeholders with automated analytics.
- Authored detailed architectural documentation for data pipelines, significantly lowering technical debt.
Education
Course - DE Associate: Data Security And Governance
AWS
Mexico10-2024
Bachelor of Computer Information Systems - POstgraduate Diploma in Data Modeling & Databases
Universidad Nacional Autónoma De México
Mexico09-2023
Bachelor of Computer Information Systems - Azure Data Fundamentals
Azure
Mexico01-2023
Bachelor of Science - Actuarial Science
Universidad Autónoma Del Estado De México
Toluca Estado De México06-2022
Skills
- Python, SQL, PySpark & REST APIs
- ETL/ELT Development (dbt)
- Data Modeling & Data Warehouse Design
- Workflow Orchestration (Airflow, Prefect)
- Cloud Platforms (AWS, Azure)
- Containerization & Compute (Kubernetes, Docker)
- CI/CD (AWS CodePipeline, Git)
- AI Tooling (Claude Code, Cursor IDE)
- Salesforce CRM & Data Visualization (Power BI)
Timeline
Data Engineer
Qualtrics
07.2025 - Current
Data Engineer – Digital Transformation
Cinepolis
04.2023 - 03.2025
Data and Analytics Engineer
Capgemini
07.2022 - 04.2023
Course - DE Associate: Data Security And Governance
AWS
Bachelor of Computer Information Systems - POstgraduate Diploma in Data Modeling & Databases
Universidad Nacional Autónoma De México
Bachelor of Computer Information Systems - Azure Data Fundamentals
Azure
Bachelor of Science - Actuarial Science
Universidad Autónoma Del Estado De México