Analytics Engineer with Bachelor’s degree in Computer Science (Data Science) and hands-on experience across data analytics, data engineering, and automation. Experienced in transforming raw marketing and platform data into reliable, analytics-ready datasets that support data-driven decision-making.
Proficient in SQL, Python, BigQuery, Databricks, and Apache Spark, with a strong focus on data cleaning, transformation, and modeling to create trusted sources of truth. Skilled in building and optimizing dashboards using Power BI, with prior experience in Looker and Tableau, enabling efficient and scalable BI reporting.
Experienced in designing and maintaining data pipelines that consolidate data from Google Ads, GA4, LinkedIn Ads, Meta Ads, and Amazon seller systems. Brings a strong balance of technical execution and business understanding, ensuring data solutions align with stakeholder needs.
Also experienced in automation and workflow optimization using n8n, Make, Google Apps Script, and AI-powered tools, reducing manual processes and improving data reliability, reporting speed, and operational efficiency.
Experience: 2 - 5 years
Experience: Less than 6 months
Experience: 1 - 2 years
Experience: 6 months - 1 year
Experience: 2 - 5 years
“I have a team of 6 VA's that pretty much do everything for me”
Elishama Jiles
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