Data Pipelines (ETL/ELT)
5 achievements
- Automated GIS SaaS application deployment, data processing, and reporting system using GitHub Actions CI/CD, Python, Bash, and SQL.
- Automated delivery of 20 GIS data pipelines and app data ETL processes, streamlining infrastructure automation and reporting.
- Streamlined data analysis and software development processes, saving 4,000 hours by introducing GitHub, GitLab, Bash, and Python CI/CD practices.
- Automated data processing tasks using Shell scripting, PL/pgSQL, Python, and Transact‑SQL, increasing productivity and efficiency.
- Architected, developed, implemented, supported infrastructure, data processing, and the map application for 2 years non‑stop without any weekends, holidays, or vacations, 10–14 hours a day.
This work is part of what we offer as Data Pipeline Development (ETL/ELT), DevOps & CI/CD Automation, GIS & Geospatial Solutions, Data Analytics & BI Dashboards, Database Administration (DBA), Full‑Stack Product Development, Platform & Solution Architecture and Site Reliability & Monitoring.
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