Open to opportunities

Kerian Junior Ebot Agbor

@kerianjuniorebotagbo

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Data engineer specializing in real-time streaming, scalable ETL, and cloud data warehouse optimization.

United States

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What I'm looking for

I seek a role building scalable data platforms and real-time ETL in collaborative, data-driven teams, with opportunities to optimize performance and deploy ML for business impact.

I am a data engineer who builds scalable ETL and real-time streaming pipelines using Python, SQL, PySpark and cloud platforms. I have designed production-grade lakehouse and data warehouse architectures that reduced processing latency, cut costs, and improved query performance.

My work includes deploying Airflow-orchestrated pipelines, optimizing Amazon Redshift and Snowflake environments, and integrating ML models for predictive analytics with 82% churn-forecast accuracy. I collaborate across BI, analytics, and engineering teams to ensure data quality, governance, and actionable executive reporting.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Get Hire Technologies Inc.

Jul 2024 - Present (1 year 5 months)

Designed and built scalable Python/Apache Airflow pipelines processing 2TB daily with sub-10-minute latency, reduced ETL processing time by 40% and errors by 15%, and optimized Redshift to cut query time 35% and costs 25%.

Python Apache Airflow AWS RedShift ETL SQL Data Governance Machine Learning Power BI Tableau

Junior Data Engineer

Shrive Solutions

Oct 2023 - Apr 2024 (6 months)

Engineered Spark pipelines processing 500GB+ datasets, optimized S3/Redshift data models to improve storage and retrieval, and reduced CPU and memory usage for aggregations by 15% and 10% respectively.