☁️ Cloud Data Engineer | Data Pipelines | Data Platforms | Data Infrastructure
Cloud Data Engineer with 1.5+ years of hands-on experience building scalable data pipelines, real-time data systems, and modern cloud data platforms.
Focused on designing reliable, automated, and analytics-ready data architectures that transform raw data into business insights.
I enjoy working on data infrastructure, event-driven systems, and modern data stack technologies to support analytics, monitoring, and real-time decision making.
Junior Data Engineer — SEBKO Solution
Jul 2024 – Present
- Designed event-driven ingestion pipelines using AWS + Kafka for high-volume network and system logs.
- Built centralized Snowflake Data Warehouse serving analytics and operational dashboards.
- Developed automated ETL pipelines using Python, SQL, and Apache Airflow.
- Reduced operational data latency by 75% and improved reporting speed 4×.
- Implemented self-healing pipeline architecture achieving 97% pipeline uptime.
- Data Pipeline Development (ETL / ELT)
- Real-Time Data Streaming
- Data Warehousing & Analytics Engineering
- Event-Driven Data Architecture
- Data Modeling & Optimization
- Data Lake & Lakehouse Architectures
- Workflow Orchestration
Python • SQL • Apache Spark • Apache Flink • Linux Shell
AWS • Microsoft Azure
Snowflake • Databricks
Apache Airflow • Apache Kafka • Delta Lake • Git • Docker
AWS S3 • EC2 • Kinesis • SNS • Glue • Lambda • Redshift • Athena • EMR • CloudWatch
Azure Azure Data Factory • Azure Data Lake • Azure SQL • Azure Databricks • Event Hub