π― Aspiring Data Engineer | π BI Developer @ Pio-Tech | π§ Lifelong Learner
- ETL Processes and Data Pipeline Automation
- Data Warehousing & Cloud Platforms (AWS, Snowflake, Redshift)
- Real-time Data Streaming (Kafka, Kinesis)
- Building scalable, production-grade data systems
- Open-source data engineering projects
- AI and its integration with data engineering
- Python for Data Engineering (ETL scripts, automation, and processing)
- Data Pipeline Orchestration (Airflow, Prefect)
- Cloud-based Data Engineering Tools (AWS, Snowflake, BigQuery)
- Working with Big Data (Spark, Hadoop)
- Tools like Pandas, PySpark, SQL, Docker for containerization
- Data engineering projects focusing on ETL pipelines and data integration
- Building cloud-based data architectures (AWS, GCP)
- Writing and sharing learnings through blogs or case studies on data engineering best practices
- π¬ LinkedIn: [www.linkedin.com/in/lavender-okello-4b709a276)
I wake up at 6:30 AM and still somehow need coffee by 7:00. β
Also, I believe the best way to learn is by building things.
βLearning by doing is the shortest path to mastery.β π