Designed and implemented automated ETL pipelines for processing genomic data. Built scalable and reproducible workflows using Snakemake for analyzing NGS data. Implemented extraction, transformation, and loading processes from multiple heterogeneous data sources. Optimized workflows reducing processing times through parallelization. Managed and maintained public databases with millions of records. Handled structured data (environmental metadata, genomic databases), semi-structured data (JSON, XML from sequencing), and unstructured data (FASTQ, FASTA files). Designed database schemas for efficient storage of multidimensional data. Implemented data quality strategies and validation in pipelines. Applied FAIR data principles. Provided technical support to the Marine Microbiology and Biogeochemistry department. Created technical documentation of processes and best practices. Collaborated with multidisciplinary teams (microbiologists, geochemists, data scientists).

Designed and modeled relational databases for storing metagenomic data and environmental metadata. Developed full-stack web application for navigating, analyzing, and visualizing scientific data. Implemented ETL pipelines for integrating data from multiple oceanographic cruises. Created APIs for data querying and export. Designed data warehouse for consolidating information from sampling campaigns. Normalized and optimized database schemas. Integrated heterogeneous data from different sources and formats.

Modeled and implemented complex relational database for storing environmental data and metadata, species samples, and microbiological analyses. Developed web server with interface for data navigation and querying. Integrated data with CONABIO (National Commission for Knowledge and Use of Biodiversity, Mexico). Implemented ETL processes for cleaning and standardizing biological data.

Modeled and refined bacterial genome databases. Developed Full Stack application for genomic context analysis (GeConT NG). Created GMO identification pipeline using multiple mapping algorithms, delivered to SENASICA. Processed large volumes of genetic sequences. Implemented interactive web application for integrated data analysis.

Supported PDM (Product Data Management) platform for 2000+ users worldwide. Project management for Business Applications LATAM. Designed and implemented Xcelerator system for corporate data centralization (UML & Database design). Electrical customization and GSM chip data processing. Created Project Planning Engine (PPE) for project management and KPI tracking. Developed ADARG (Automatic Data Acquirement and Report Generation) for automated production data collection. Recognition: Gemalto Excellence Award (2009).