L Ikeds

I’m a Data Engineer with multiple years of experience delivering analytics solutions in enterprise and oil refinery environments. I focus on large-scale data ingestion, transformation, and warehousing—so teams can make decisions with governed, reliable data.

At EXXONMOBIL, I designed, developed, and maintained 40+ scalable data pipelines using Azure Data Factory and Fivetran. I led a data standardization initiative migrating curated datasets to Snowflake, enabling 4,500+ employees to access reliable, governed data for strategic insights.

I also developed and maintained 10+ data products with Snowflake and SQL, designing and optimizing schemas, tables, and views for analytics, reporting, and downstream applications. By implementing data modeling and data quality frameworks across 200+ databases, I improved data reliability, consistency, and accessibility while partnering with cross-functional engineering, operations, and analytics teams.

Previously, as a Data Analyst, I analyzed operational datasets from 30+ oil refineries using Python, SQL, and Power BI to support predictive maintenance and operational planning. I evaluated machine learning approaches for telemetry data from 500K industrial sensors, and I built dashboards to increase visibility into maintenance workflows and operational metrics.