👋 I’m a Senior Data Engineer with over 8 years of experience designing, developing, and maintaining robust data pipelines and infrastructure in the Cloud.
💯 Passionate about leveraging data to drive business success, I specialize in transforming raw data into actionable insights. My expertise includes optimizing data processing, storage, and analysis using cutting-edge technologies and methodologies.
✨ Core Strengths & Interest:
- Building and optimizing ETL & ELT data pipelines.
- Designing, modeling, and managing data warehouses and data lakes.
- Implementing scalable data architectures for high-volume data.
- Ensuring data quality and integrity through robust data governance practices.
- Using AI/ML algorithms and tools to generate actionable insights based on identified patterns.
- Collaborating effectively with cross-functional teams (data analysts, data scientists, ML engineers, business stakeholders, etc.) to achieve data-driven goals.
✅ Key Technologies Used:
- Data Warehouses: BigQuery, Redshift, Databricks, Snowflake, PostgreSQL, MongoDB... you name it!
- Big Data & Frameworks: Apache Spark, Apache Kafka, Apache Beam (Dataflow), Airflow, dbt, and more.
- Cloud Platforms: AWS, Google Cloud, Microsoft Azure, and Databricks - I've got a few certifications to prove it!
- Data Visualization: Power BI, Tableau, Looker, Amazon QuickSight, Streamlit - making data sing!
- Programming Languages: Python & SQL (my favorites), Go, Java, R, and the whole gang.
- DevOps & Other Tools: Linux, Docker, GitHub Actions, Terraform, PySpark, and FastAPI - all in my toolbox
👉 I thrive in dynamic environments where innovation is paramount.
🌐 Interested in Fully Remote Global Opportunities.
🤝 Let's connect!
