🚀 On The Face of The Earth... Data Flows Limitlessly... My Insights? UNMATCHED!!! ⚡
CODING DATA ENGINEERING SCALABLE PIPELINES AUTOMATION INSIGHTS OPTIMIZED
🔥 Hey, I'm Johan, a software, data & automation enthusiast and problem-solver. I thrive on optimizing workflows, architecting scalable data pipelines, and enabling businesses to make data-driven decisions. Whether it’s creating front-end application ,orchestrating ETL/ELT, optimizing cloud infrastructure, or building analytics dashboards, I bring the same relentless energy to every field I dive into.
Data is only as valuable as the insights it fuels. Efficiency is the name of the game.
To push the boundaries of data engineering, cloud computing, and analytics, building seamless and automated solutions that empower decision-makers.
- ETL/ELT Pipelines – Automating ingestion, transformation, and loading of data.
- Data Warehousing – Architecting solutions in Snowflake, BigQuery, and Databricks.
- Orchestration – Managing workflows with Apache Airflow and Dagster.
- Data Modeling – Implementing efficient schemas with dbt and SQL.
- Streaming & Batch Processing – Handling real-time and scheduled data workflows.
- Dashboarding & Reporting – Creating business intelligence reports in Power BI, Tableau, and Looker.
I build projects across multiple domains, including data engineering, cloud computing, and analytics. Check out my repositories here: My GitHub Repos]
- Automated-Snowflake-Pipeline – A fully automated ETL pipeline using Airflow, Snowflake, and dbt.
- Real-time-Dashboarding – A project integrating BigQuery, Looker, and Power BI to generate live reports.
- Batch-vs-Streaming-Data-Processing – A comparative analysis of batch vs streaming data ingestion.
- Data-Lakehouse-Architecture – Implementing a modern data lakehouse using Databricks and Delta Lake.
🎯 Always exploring new ways to make data work smarter, faster, and more efficiently! 🚀