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Report abuse❄️ # Success Ekhosuehi – Data Engineer | Snowflake | AWS | Streaming | Modeling | Orchestration | Migration
I'm a data engineer focused on building scalable, automated, cloud-native data platforms. My work centers around Snowflake architecture, real-time and micro-batch streaming pipelines, and workflow orchestration using Airflow & OpenFlow. I specialize in transforming complex, high volume data especially from legacy systems like Oracle,Db2,teradata into efficient, analytics-ready cloud ecosystems.
I also design modern data models using Kimball (Dimensional) and Data Vault methodologies to ensure scalable, auditable, and business-aligned datasets.
All pipelines are built with production in mind: performance, reliability, clarity, and scale.
- ❄️ Snowflake: Snowpipe, Streams, Tasks, Time Travel, Performance Optimization
- ⚡ Databricks: Transformation, Spark pipelines, ML workloads
- 🌊 Streaming & Ingestion: IoT data, Kafka, CDC, Micro-batching
- 🔁 Migration: Oracle → Snowflake / Databricks modernization
- 📁 SFTP Pipelines: File ingestion, automation & monitoring
- 🧠 Orchestration: Apache Airflow, OpenFlow, Event-based workflows
- ☁️ Cloud: AWS-based data infrastructures
- 🤖 AI/Data Stack Integration: Snowflake + LLMs + Automation
Each pipeline is designed to be maintainable, scalable, and cost-efficient.
Terraform Snowflake User Provisioning
Snowflake Streaming Pipeline
Oracle to Snowflake Migration
Airflow DAGs for ETL
Databricks Spark Pipelines
AeroSync SFTP-to-Snowflake Pipeline
Kimball & Data Vault Models
Seamless S3-to-Snowflake migration transforms raw data into instant insights. Automated pipelines and secure integrations empower teams to make faster, smarter decisions.
Step-by-step guide to creating an IAM user in AWS and allowing it to assume a role, with best practices for security and permissions management.
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- LinkedIn: https://www.linkedin.com/in/suehi/
- GitHub: https://github.com/007ekho
"A great data system is invisible. It doesn’t need attention — it earns trust."
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