Abel Busani
Software Developer Senior at Softnet Soluciones SA de CV
Monterrey, Nuevo León, Mexico
Summary
🤩
Rockstar🎓
Top SchoolAbel Busani is a senior software developer based in Monterrey with eight years of professional experience building production-ready systems across fintech and enterprise environments. He has a steady career progression from early programming roles to senior developer positions at companies like Softnet Soluciones, Intellego, OXXO and SourceHOV, demonstrating reliability and long-term impact. Abel has hands-on cloud data engineering experience—implementing an Apache Beam Python pipeline to extract BigQuery data, convert to Parquet with pyarrow, and run on Cloud Dataflow for the GoogleCloudPlatform training repo. Comfortable with scripting and automation, he complements data pipelines with bash tooling to simplify deployment and configuration. Known for pragmatic problem solving and operational pragmatism, he brings both application-level development and data infrastructure skills to projects. Fluent in Spanish and rooted in Mexico, he pairs local market knowledge with cloud-native engineering practices.
8 years of coding experience
7 years of employment as a software developer
Lic. en Sistemas de Informacion Administrativa, Lic. en Sistemas de Informacion Administrativa at Instituto Tecnológico de Sonora
Github Skills (11)
parquet10
bash10
script10
bigquery10
data-pipeline10
data-pipelines10
pyarrow10
apache-beam10
python10
data-engineering10
gcp10
Programming languages (2)
Github contributions (5)
GoogleCloudPlatform/training-data-analyst
Feb 2020 - Jan 2023
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Role in this project:
Data Engineer
Data EngineerContributions:1 review, 61 commits, 25 PRs in 2 years 11 months
Contributions summary:Abel implemented a data pipeline to extract data from BigQuery, transform it into Parquet format, and store it in Cloud Storage. This involved writing a Python script using Apache Beam and the pyarrow library to define the data extraction pipeline. Furthermore, the user created a bash script to facilitate the execution of the Python script, specifying project details, dataset, table names, bucket locations, and region configuration for a Cloud Dataflow job.
gcpgoogle-cloud-platformgoogle-cloudtraining
GoogleCloudPlatform/specialized-training-content
Jan 2024 - Mar 2025
Contributions:9 PRs, 72 pushes, 15 branches in 1 year 2 months
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