Cosme Ramses Hernández

CH

Looking for a job

Cosme Ramses Hernández

@cosmeramseshernndez

Data Engineer at Kimetrics building AWS data pipelines and correcting a bonus-report discrepancy that caused approximately 10% overpayment.

At Kimetrics, I develop and maintain Python and SQL ETL/ELT pipelines using AWS, Apache Airflow, and Amazon Redshift to support data integration and analytics for 40+ retail chains.

I design full and incremental loads and implement validation and reconciliation across data flows. I also identified a business-rule discrepancy in a client bonus report that resulted in approximately 10% overpayment, leading to corrections to the report and its calculations.

Experience

Work history, roles, and key accomplishments

KI

Current

Data Engineer

Current

Kimetrics

Feb 2022 - Present (4 years 8 months)

Develop and maintain ETL/ELT pipelines using Python, SQL, AWS Lambda, S3, DMS, Airflow, and Amazon Redshift, supporting data integration and analytics for 40+ retail chains. Design full and incremental data loads, including source-to-target mappings, historical processing, and validation strategies for datasets exceeding 100M sales records.

Python SQL AWS Lambda S3 AWS DMS Airflow Amazon Redshift ETL ELT Data Integration Incremental Load Data Validation Data Quality Data Modeling Data Warehouse Data Reconciliation Azure SQL Server MySQL

Education

Degrees, certifications, and relevant coursework

BP

Benemérita Universidad Autónoma de Puebla

Engineering, Computer Science

Studied Computer Science Engineering at Benemérita Universidad Autónoma de Puebla, graduating in 2016.

Tech stack

Software and tools used professionally

Amazon Redshift

Amazon CloudWatch

Amazon S3

Pandas

MySQL

PostgreSQL

Python

C

Linux

AWS Lambda

Git

Docker

SQL

Amazon EventBridge

Bash

AWS

Availability

Looking for a job

Location

Mexico

Authorized to work in

Salary expectations

300k+ MXN

Social media

Job categories

Skills

Data Engineering ETL ELT Data Integration Data Pipelines Incremental Load Data Validation Data Quality Data Reconciliation Data Modeling Data Warehouse Source To Target Mapping Python SQL AWS Amazon Redshift

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