Jaime Meza

Head of Software Development

• System Integrations Architecture

  Architected system integrations connecting transportation management, HR/payroll, telematics, and accounting systems across Mexico-US operations.

• Engineering Team Leadership

  Mentored engineering team members and provided technical guidance, fostering collaboration and knowledge sharing across development projects.

• Automated Audit System

  Created an automated audit system that identified discrepancies and enabled the company to recover significant reimbursements.

• Automated Financial Processing

  Developed automated financial processing systems for bank statement validation and accounting integration, streamlining cross-border logistics operations.

• ETL Pipelines

  Built ETL pipelines extracting data from APIs to databases, enabling the BI team to analyze payroll and driver settlement information across international operations.

Software Engineer

• Data Pipeline Design and Implementation

  Designed and implemented efficient and scalable data pipelines to support machine learning and analytics initiatives. Leveraged Databricks to automate the process of testing and deploying these pipelines, resulting in significant efficiency gains.

• Collaboration with Data Science Teams

  Collaborated closely with data scientists and engineers to understand their data infrastructure needs. To empower them further, we built a custom tool that allows their code to run seamlessly as nodes within the data pipelines.

  Additionally, we implemented MLflow for robust artifact management, enabling data scientists to efficiently store, read, and write data to and from Snowflake.

• Data Infrastructure Management

  Monitored and proactively addressed data pipeline and infrastructure issues, guaranteeing smooth data flow and system uptime.

  Implemented dbt models automated through Airflow. This approach decoupled transformation logic from the pipeline, leading to cost reductions in development and production by eliminating duplicate workloads.

• Product Information Management Tool (PIM)

  Led a team effort with data infrastructure and product catalog engineers to expand the PIM's reach to new markets.

  Collaborated on building data pipelines using APIs, S3 buckets, dbt, and Snowflake to ensure accurate and efficient data import for the new markets.

  Integrated the imported market data seamlessly into the PIM tool, enabling product managers to efficiently update product information across these new markets.

Enterprise Data Management

• Provide business insights

  Support decision-making by providing insights on key performance indicators such as delivery times, costs, etc..

• Collect and prepare data

  Collect and prepare data from various sources such as shipment tracking systems, customer databases, and market research.

• Communicate findings

  Responsible for creating and delivering reports and presentations that summarize their findings and recommendations.

EDX

Valley Technical Academy

Universidad Valle del Bravo