Elisel B.

About Elisel B.

I am an IT Operations and Data Systems professional who brings clarity, structure, and intelligent efficiency to teams that need reliable workflows and scalable systems. I specialize in strengthening operations, improving processes, and developing data-supported solutions that help organizations work with more consistency, speed, and confidence.My experience spans IT operations, data workflows, analytics, and data engineering support. I have managed multi-client healthcare environments, improved service delivery performance, and stepped into leadership responsibilities where I coached analysts, stabilized processes, and elevated the quality of technical support across teams. In my work with JerseySTEM, I support ETL workflows, MySQL development, data quality checks, and documentation that ensures clean and dependable pipelines.I’m at my best where operations and data intersect. I thrive in environments with complex workflows, underutilized tools, or gaps in structure. I bring order to the moving parts, translate technical detail into clarity, and build scalable systems that reduce chaos and increase predictability. My analytical mindset helps leaders understand performance trends, identify bottlenecks, and make decisions rooted in real data.My core strengths include workflow optimization, SQL querying, KPI reporting, ETL and data quality support, automation, Power BI and Looker development, technical documentation, and cross-functional communication. I’m often recognized for learning quickly, simplifying complexity, and creating systems that teams can trust.If your organization values clarity, thoughtful problem-solving, and systems that perform with excellence, I’d love to connect.

Experience

1. Data Engineer

   JerseySTEM

   Jul 2025 — Present · Gaithersburg, MD, US

   Design, maintain, and optimize ETL pipelines using Integrate.io and MySQL to support data flows across Slack, CRM, and SQL-based systems.• Develop automated data validation checks, schema monitoring, and freshness logic to increase pipeline reliability and improve accuracy of downstream reporting.• Partner with project leads to document SOPs, troubleshoot workflow failures, and strengthen data governance practices across multiple data sources.• Mentor new data engineers on data quality standards, testing strategies, version control, and structured development workflows within Git-based environments.• Support daily workflow checks, pipeline health reviews, and issue resolution protocols to ensure consistent and timely data availability for program stakeholders.

Education

• University of the People

  Bachelor of Science - BS, Computer Science