Open to opportunities

Shumet Nigatu

@shumetnigatu

Message

I build reliable cloud data pipelines and AI-ready analytical platforms.

Zimbabwe

Message

What I'm looking for

I'm looking to build secure, scalable cloud data platforms and trusted datasets for analytics and AI-enabled use cases, while partnering with product, analytics, engineering, and business teams.

I've built and owned production ETL/ELT pipelines and analytical data products at GEICO using Python, SQL, PySpark, Snowflake, Databricks, Airflow, and cloud data services.

I translate business and analytics requirements into scalable data models, ingestion frameworks, and trusted consumption-ready datasets. My work includes automated data-quality validation, reconciliation, monitoring, incident response, SQL and PySpark optimization, and governed delivery for reporting, advanced analytics, and emerging AI-enabled use cases.

Previously at Bank of America, I developed enterprise pipelines, dimensional data layers, reusable Python utilities, and data-integrity controls in a regulated financial-services environment. I bring 8+ years of experience delivering secure, production-grade data platforms from design through deployment and support.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

GEICO Insurance

Mar 2020 - Present (6 years 5 months)

Designed, built, and owned production ETL/ELT pipelines and analytical data products using Python, SQL, PySpark, Snowflake, Databricks, Airflow, and cloud data services. Implemented automated data-quality validation, reconciliation, monitoring, and operational controls to improve reliability and trust in business-critical datasets.

Python SQL PySpark Snowflake Databricks Airflow Azure Data Factory Data Modeling ETL ELT Data Quality Data Governance Git CI CD Docker

Data Engineer

Bank of America

Sep 2017 - Feb 2020 (2 years 5 months)

Built and maintained production data pipelines using Python, SQL, PySpark, Airflow, cloud services, and distributed processing technologies for enterprise analytics. Designed relational and dimensional schemas and optimized queries, stored procedures, views, and warehouse workloads for scalable analytical consumption.