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MDavidHernandezP/README.md

👋 Hi there, I’m Mario David Hernández Pantoja

🚀 Data Engineer | Cloud Engineer
🎓 Bachelor in Data Engineering
🌎 Mexico | Open to Remote & International Opportunities

Currently a Data Engineer willing to gain more professional experience in the industry, but already working various skills in the field, including Cloud Computing, ETL Pipelines, DevOps and Data Analytics/Science. My experience spans AWS, Azure, and GCP, combining infrastructure as code with modern data engineering practices to deliver reliable and cost-efficient systems.

🌐 Connect with Me

LinkedIn GitHub Credly

🧠 Expertise

💡 Data Engineering & Analytics
I specialize in building end-to-end data pipelines, from ingestion to analytics-ready datasets. I have hands-on experience with batch and streaming workloads, data warehousing, and data lake architectures, ensuring data quality and reliability at scale.

☁️ Cloud & DevOps
I apply DevOps principles to data systems, leveraging Infrastructure as Code, containerization, and CI/CD concepts. I’ve worked extensively with cloud services to migrate on-premise infrastructures and optimize operational costs.

⚙️ Automation & Reliability
I focus on automation-first solutions, reducing manual processes through scripting, orchestration, and workflow scheduling. I value clean architectures, observability, and reproducibility.

🛠️ Tech Stack

👨‍💻 Programming & Scripting

Python SQL Bash R C

☁️ Cloud Platforms

AWS Azure Google Cloud

🧱 Data & Big Data

Airflow Databricks Snowflake Spark Kafka Hadoop DBT

🐳 DevOps & Tooling

Docker Kubernetes Terraform Ansible Jenkins GitLab GitHub Actions

🗄️ Databases & Storage Systems

PostgreSQL MySQL SQL Server Oracle SQLite MariaDB

MongoDB Cassandra DynamoDB Milvus

Amazon RDS Amazon Timestream Azure SQL Cloud SQL

🚀 Featured Projects

📊 Data Warehouse Pipeline ETL

Airflow · Python · Docker · SQL

  • Built a multi-source ETL pipeline integrating MSSQL, MySQL, PostgreSQL, Oracle, and SQLite
  • Automated ingestion into a centralized Data Warehouse
  • Designed with scalability for DBT modeling and data quality frameworks

🔗 https://github.com/MDavidHernandezP/DataWarehousePipelineETL

🛒 Online Store Web Scraper API

FastAPI · MongoDB · Docker · Power BI

  • Developed an API to automate web data extraction
  • Stored and managed semi-structured data with MongoDB
  • Performed data cleaning, visualization, and analytics

🔗 https://github.com/MDavidHernandezP/OnlineStoreWebScraperAPI

🎓 Certifications

  • AWS Academy Cloud Architecting
  • AWS Academy Data Engineering
  • Databricks Fundamentals
  • CCNA: Introduction to Networks
  • Google Cloud Computing Foundations

🔗 Full list on Credly:
https://www.credly.com/users/mario-david-hernandez-pantoja/badges

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